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  • A presentation and retrieval hash scheme of images based on principal component analysis
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-20
    Chunyan Shuai, Xu Wang, Min He, Xin Ouyang, Jun Yang

    Image representation and approximate query is always a research challenge and is affected greatly by the dimension and size of images. Since hash-based methods and binary encodings in combination with other techniques, such as kernel tricks, a longer binary code and mapping vectors rotation, can maintain a linear query time and query accuracy, they have been used in this area broadly. This paper develops

    更新日期:2020-10-20
  • Skeleton extraction from point clouds of trees with complex branches via graph contraction
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-20
    Anling Jiang, Ji Liu, Jianling Zhou, Min Zhang

    Extracting a skeleton from a 3D tree-shaped point cloud with complex branches is a challenging issue due to the diversity of branches and their natural topological complexity. In this paper, we first introduce a novel contraction method called “graph contraction” to contract 3D tree-shaped point clouds. The computation of the graph contraction is formulated as the minimization of an energy function

    更新日期:2020-10-20
  • Measurement and rendering of complex non-diffuse and goniochromatic packaging materials
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-18
    Aditya Sole, Giuseppe Claudio Guarnera, Ivar Farup, Peter Nussbaum

    Realistic renderings of materials with complex optical properties, such as goniochromatism and non-diffuse reflection, are difficult to achieve. In the context of the print and packaging industries, accurate visualisation of the complex appearance of such materials is a challenge, both for communication and quality control. In this paper, we characterise the bidirectional reflectance of two homogeneous

    更新日期:2020-10-19
  • Learning color space adaptation from synthetic to real images of cirrus clouds
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-14
    Qing Lyu, Minghao Chen, Xiang Chen

    Cloud segmentation plays a crucial role in image analysis for climate modeling. Manually labeling the training data for cloud segmentation is time-consuming and error-prone. We explore to train segmentation networks with synthetic data due to the natural acquisition of pixel-level labels. Nevertheless, the domain gap between synthetic and real images significantly degrades the performance of the trained

    更新日期:2020-10-14
  • $$\hbox {S}^2\hbox {RGAN}$$ S 2 RGAN : sonar-image super-resolution based on generative adversarial network
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-14
    Hongtao Song, Minghao Wang, Liguo Zhang, Yang Li, Zhengyi Jiang, Guisheng Yin

    As an important display mode of underwater environments, the sonar image has limitations on the resolution, which often leads to problems with low resolution of underwater objects. Therefore, the image super-resolution algorithm is needed to transform the images from low-resolution to high-resolution. It can improve the visual effect and contribute to subsequent processing such as 3D reconstruction

    更新日期:2020-10-14
  • Enhanced holoentropy-based encoding via whale optimization for highly efficient video coding
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-08
    Venkatesh Munagala, Satya Prasad Kodati

    High-efficiency video coding (HEVC), a video compression method is considered as the most capable descendant of the extensively deployed advanced VC (AVC). Compared with AVC, HEVC provides about twice the data compression ratio at the similar video quality level or considerably enhanced video quality at an equal bit rate. This paper proposes a novel enhanced holoentropy model for proficient systems

    更新日期:2020-10-08
  • Self-supervised deep subspace clustering network for faces in videos
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-07
    Yunhao Qiu, Pengyi Hao

    Video face clustering is a challenging task with wide applications. Unlike ordinary image clustering, faces in videos usually exist as a series of tracks, which provide prior knowledge. Specifically, faces from the same track are considered to be the same person while faces from the different tracks appearing in the same frame are considered to be different people. Based on this prior knowledge, we

    更新日期:2020-10-07
  • Background segmentation in multicolored illumination environments
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-06
    Nikolas Ladas, Paris Kaimakis, Yiorgos Chrysanthou

    We present an algorithm for the segmentation of images into background and foreground regions. The proposed algorithm utilizes a physically based formulation of scene appearance which explicitly models the formation of shadows originating from color light sources. This formulation enables a probabilistic model to distinguish between shadows and foreground objects in challenging images. A key component

    更新日期:2020-10-07
  • MLK-SVD, the new approach in deep dictionary learning
    Vis. Comput. (IF 1.456) Pub Date : 2020-10-06
    Azadeh Montazeri, Mahboubeh Shamsi, Rouhollah Dianat

    The aim of this study is to improve the classification efficiency of advanced methods using a multilayered dictionary learning framework. This paper presents the new idea of “multilayered K-singular value decomposition (MLK-SVD)” dictionary learning as a multilayer method of classification. This method starts by building a sparse representation at the patch level and relies on a hierarchy of learned

    更新日期:2020-10-07
  • Computer-aided diagnostic network for brain tumor classification employing modulated Gabor filter banks
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-24
    Rahul Singh, Aditya Goel, D. K. Raghuvanshi

    MR brain tumor classification is one of the extensively utilized approaches in medical prognosis. However, analyzing and processing MR brain images is still quite a task for radiologists. To encounter this problem, the evaluation of existing canonical techniques has already been done. There are numeral MR brain tumor classification approaches that are being used for medical diagnosis. In this paper

    更新日期:2020-09-24
  • Feature-attention module for context-aware image-to-image translation
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-23
    Jing Bai, Ran Chen, Min Liu

    In a summer2winter image-to-image translation, trees should be transformed from green to gray, but the colors of houses or girls should not be changed. However, current unsupervised one-to-one image translation techniques failed to focus the translation on individual objects. To tackle this issue, we propose a novel feature-attention module for capturing the mutual influences of various features, so

    更新日期:2020-09-23
  • Fine-grained talking face generation with video reinterpretation
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-22
    Xin Huang, Mingjie Wang, Minglun Gong

    Generating a talking face video from a given audio clip and an arbitrary face image has many applications in areas such as special visual effects and human–computer interactions. This is a challenging task, as it requires disentangling semantic information from both input audio clips and face image, then synthesizing novel animated facial image sequences from the combined semantic features. The desired

    更新日期:2020-09-23
  • Three-view generation based on a single front view image for car
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-22
    Zixuan Qin, Mengxiao Yin, Zhenfeng Lin, Feng Yang, Cheng Zhong

    The multi-view of an object can be used for 3D reconstruction. The method proposed in this paper generates the left and the top view of a target car through deep learning. The input of the method is only a front view of a 3D car and it isn’t necessary for the depth of the 3D car. Firstly, a rough orthographic views of the 3D car is gotten from an information constraint network which is constructed

    更新日期:2020-09-22
  • Deep learning-based image de-raining using discrete Fourier transformation
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-16
    Prasen Kumar Sharma, Sathisha Basavaraju, Arijit Sur

    Single image rain streak removal is a well-explored topic in the field of computer vision. The de-raining problem is modeled as an image decomposition task where a rainy image is decomposed into rain-free background image and rain streek map. Unlike most of the existing de-raining methods, this paper attempts to decompose the rainy image in the frequency domain. The idea is inspired by pseudo-periodic

    更新日期:2020-09-16
  • Scale and density invariant head detection deep model for crowd counting in pedestrian crowds
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-16
    Sultan Daud Khan, Saleh Basalamah

    Crowd counting in high density crowds has significant importance in crowd safety and crowd management. Existing state-of-the-art methods employ regression models to count the number of people in an image. However, regression models are blind and cannot localize the individuals in the scene. On the other hand, detection-based crowd counting in high density crowds is a challenging problem due to significant

    更新日期:2020-09-16
  • Interest points reduction using evolutionary algorithms and CBIR for face recognition
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-15
    Juan Villegas-Cortez, César Benavides-Alvarez, Carlos Avilés-Cruz, Graciela Román-Alonso, Francisco Fernández de Vega, Francisco Chávez, Salomón Cordero-Sánchez

    Face recognition has become a fundamental biometric tool that ensures identification of people. Besides a high computational cost, it constitutes an open problem for identifying faces under ideal conditions as well as those under general conditions. Though the advent of high memory and inexpensive computer technologies has made the implementation of face recognition possible in several devices and

    更新日期:2020-09-16
  • A secure visual secret sharing (VSS) scheme with CNN-based image enhancement for underwater images
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-13
    Nikhil C. Mhala, Alwyn R. Pais

    Nowadays, underwater images are being used to identify various important resources like objects, minerals, and valuable metals. Due to the wide availability of the Internet, we can transmit underwater images over a network. As underwater images contain important information, there is a need to transmit them securely over a network. Visual secret sharing (VSS) scheme is a cryptographic technique, which

    更新日期:2020-09-13
  • Structure-preserving image smoothing with semantic cues
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-10
    Linggang Chen, Gang Fu

    The purpose of image smoothing is to smooth out low-contrast textures while preserving meaningful structures. Although this problem has been studied for decades, it still leaves a lot of space to improve. Recently, learning-based edge detectors have superior performance to traditional manually-designed detectors. Based on the edge detection technique, we present a novel optimization-based image smoothing

    更新日期:2020-09-11
  • Physically inspired technique for modeling wet absorbent materials
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-07
    Juan Miguel Bajo, Claudio Delrieux, Gustavo Patow

    The visual appearance of materials depends on their intrinsic light transfer properties, the illumination and camera conditions, and other environmental factors. This is in particular the case of porous, rough, or absorbent materials, where the presence of liquid on the surface alters significantly their BRDF, which in turn results in considerable changes in their visual appearance. For this reason

    更新日期:2020-09-08
  • Computational design of polyomino puzzles
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-07
    Naoki Kita, Kazunori Miyata

    People of all ages enjoy solving geometric puzzles. However, finding suitable puzzles, e.g., puzzles with a moderate level of difficulty or puzzles with intellectually stimulating shapes can be difficult. In addition, designing innovative and appealing puzzles requires demanding effort and, typically, involves many trial and error processes. In this paper, we introduce a computational approach for

    更新日期:2020-09-08
  • Segmentation of unbalanced and in-homogeneous point clouds and its application to 3D scanned trees
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-07
    Jules Morel, Alexandra Bac, Takashi Kanai

    Segmentation of 3D point clouds is still an open issue in the case of unbalanced and in-homogeneous data-sets. In the application context of the modeling of botanical trees, a fundamental challenge consists in separating the leaves from the wood. Based on deep learning and a class decision process, we propose an innovative method designed to separate leaf points from wood points in terrestrial LiDAR

    更新日期:2020-09-08
  • Valence optimization and angle improvement for molecular surface remeshing
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-02
    Dawar Khan, Alexander Plopski, Yuichiro Fujimoto, Masayuki Kanbara, Zhanglin Cheng, Hirokazu Kato

    Molecular surface mesh generation plays a vital role in molecular modeling and visualization. However, meshes extracted directly from Protein Data Bank files have several issues such as small and large triangles, redundant elements, self-intersections, and irregular vertices. The state-of-the-art mesh improvement methods often fail to deal with these issues. In this paper, we present a novel method

    更新日期:2020-09-03
  • Paradigm shifts in super-resolution techniques for remote sensing applications
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-02
    G. Rohith, Lakshmi Sutha Kumar

    Super-resolution (SR) algorithms have now become a bottleneck for several remote sensing applications. SR is a technique that enhances minute details of the image by increasing spatial resolution of imaging systems. SR overcomes the problems of conventional resolution enhancement techniques such as introduction of noise, spectral distortion, and lack of clarity in the details of the image. In this

    更新日期:2020-09-02
  • Feel the inside: A haptic interface for navigating stress distribution inside objects
    Vis. Comput. (IF 1.456) Pub Date : 2020-09-01
    Lifeng Zhu, Rubin Ren, Dapeng Chen, Aiguo Song, Jia Liu, Ning Ye, Yin Yang

    Understanding stress distributions over 3D models is a highly desired feature in many scientific and engineering fields. The stress is mathematically a second-order tensor, and it is typically visualized using either color maps, tensor glyphs, or streamlines. However, neither of these methods is physically intuitive to the end user, and they become even more awkward when dealing with the volumetric

    更新日期:2020-09-01
  • Salient object detection from low contrast images based on local contrast enhancing and non-local feature learning
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-29
    Tengda Guo, Xin Xu

    Salient object detection can facilitate numerous applications. Traditional salient object detection models mainly utilize low-level hand-crafted features or high-level deep features. However, they may face great challenges in the nighttime scene, due to the difficulties in extracting well-defined features to represent saliency information from low contrast images. In this paper, we present a salient

    更新日期:2020-08-29
  • STA-GCN: two-stream graph convolutional network with spatial–temporal attention for hand gesture recognition
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-28
    Wei Zhang, Zeyi Lin, Jian Cheng, Cuixia Ma, Xiaoming Deng, Hongan Wang

    Skeleton-based hand gesture recognition is an active research topic in computer graphics and computer vision and has a wide range of applications in VR/AR and robotics. Although the spatial–temporal graph convolutional network has been successfully used in skeleton-based hand gesture recognition, these works often use a fixed spatial graph according to the hand skeleton tree or use a fixed graph on

    更新日期:2020-08-28
  • An effective recognition approach for contactless palmprint
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-28
    Nuoya Xu, Qi Zhu, Xiangyu Xu, Daoqiang Zhang

    The biometrics character has been widely used for individual identification and verification. Palmprint as one of biological features contains abundant discriminative features, which has already attracted a lot of interest. In this work, we focus on the identification and verification of contactless palmprint images. Considering the main differences between contact and contactless images, including

    更新日期:2020-08-28
  • Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color space
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-28
    Min Wu, Xin Jin, Qian Jiang, Shin-jye Lee, Wentao Liang, Guo Lin, Shaowen Yao

    Image colorization technique is used to colorize the gray-level image or single-channel image, which is a very significant and challenging task in image processing, especially the colorization of remote sensing images. This paper proposes a new method for coloring remote sensing images based on deep convolution generation adversarial network. The adopted generator model is a symmetrical structure using

    更新日期:2020-08-28
  • Constant-time energy-normalization for the Phong specular BRDFs
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-27
    Ian Mallett, Cem Yuksel

    The Phong and Modified Phong specular BRDFs, although of limited physical basis, are nevertheless some of the simplest BRDFs exhibiting glossy and specular qualities to understand and to implement, making them useful for validation and teaching. Unfortunately, although it is well-known how to make these BRDFs conserve energy (that is, never gain energy), making them energy-normalized (that is, never

    更新日期:2020-08-28
  • A novel method for reconstructing general 3D curves from stereo images
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-26
    Yijun Zhou, Jianan Zhao, Chen Luo

    Three-dimensional (3D) reconstruction of objects and scenes from camera images is of great interests due to its wide applications. Reconstruction based on feature point correspondence is an established approach. Existing research on curve-based reconstruction is limited to certain type of curves and constrained by case-dependent reconstruction accuracy. In view of that, this paper developed a new method

    更新日期:2020-08-26
  • Shape correspondence based on Kendall shape space and RAG for 2D animation
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-18
    Shaolong Liu, Xingce Wang, Zhongke Wu, Hock Soon Seah

    We introduce a 2D vectorized shape correspondence method based on Kendall shape space and region adjacency graph. We regard shape correspondence in 2D animation as a weighted bipartite graph matching problem and optimize it by means of various weights, including geometric attribute, local topological information, and global topological information in 2D animation drawing. The measuring method in Kendall

    更新日期:2020-08-18
  • A framework for facial age progression and regression using exemplar face templates
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-17
    Ali Elmahmudi, Hassan Ugail

    Techniques for facial age progression and regression have many applications and a myriad of challenges. As such, automatic aged or de-aged face generation has become an important subject of study in recent times. Over the past decade or so, researchers have been working on developing face processing mechanisms to tackle the challenge of generating realistic aged faces for applications related to smart

    更新日期:2020-08-17
  • FPGA-based infrared image deblurring using angular position of IR detector
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-16
    Tugay Doner, Dincer Gokcen

    The motion of the object or the infrared (IR) imaging system during the integration time causes blurring of the IR image. This study covers real-time field programmable gate array (FPGA)-based deblurring for IR detectors, and an inertial measurement unit (IMU) was used to quantify the blur caused by the IR detector movement. Point spread function for each pixel was calculated using the angular position

    更新日期:2020-08-16
  • A survey of modeling, rendering and animation of clouds in computer graphics
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-14
    Prashant Goswami

    Clouds play an important role in enhancing the realism of outdoor scenes in computer graphics (CG). Realistic cloud generation is a challenging task, which entails processes such as modeling, photorealistic rendering and simulation of the clouds. To these ends, several techniques have been proposed within the CG community in the last 4 decades with one or more of the above stated focuses. The growth

    更新日期:2020-08-14
  • Keyframe-based multi-contact motion synthesis
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-13
    Yeonjoon Kim, Sung-Hee Lee

    Most of the human daily activities include acyclic multi-contact motions. Yet, generating such motions is challenging because of its high-dimensional and nonlinear solution space made by combinations of individual movements of body parts. In this paper, we present a novel keyframe-based framework to automatically generate multi-contact character motions. Our system consists of two components: key-pose

    更新日期:2020-08-14
  • Deep color transfer using histogram analogy
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-12
    Junyong Lee, Hyeongseok Son, Gunhee Lee, Jonghyeop Lee, Sunghyun Cho, Seungyong Lee

    We propose a novel approach to transferring the color of a reference image to a given source image. Although there can be diverse pairs of source and reference images in terms of content and composition similarity, previous methods are not capable of covering the whole diversity. To resolve this limitation, we propose a deep neural network that leverages color histogram analogy for color transfer.

    更新日期:2020-08-12
  • Immersive analysis of user motion in VR applications
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-12
    Simon Kloiber, Volker Settgast, Christoph Schinko, Martin Weinzerl, Johannes Fritz, Tobias Schreck, Reinhold Preiner

    With the rise of virtual reality experiences for applications in entertainment, industry, science and medicine, the evaluation of human motion in immersive environments is becoming more important. By analysing the motion of virtual reality users, design choices and training progress in the virtual environment can be understood and improved. Since the motion is captured in a virtual environment, performing

    更新日期:2020-08-12
  • Adaptive cropping and deskewing of scanned documents based on high accuracy estimation of skew angle and cropping value
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-10
    Chengtao Cai, Haiyang Meng, Renjie Qiao

    Scanned documents commonly suffer from skew and redundant edges when a paper document is scanned and saved as an image file. In this paper, we propose an improved algorithm that can automatically deskew and crop scanned documents. To improve the accuracy of edge detection, the image edge can be made salient based on different edge types. The estimation of the deskew and the cropping value can benefit

    更新日期:2020-08-11
  • A new one-dimensional chaotic map and its application in a novel permutation-less image encryption scheme
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-10
    Mohamed Zakariya Talhaoui, Xingyuan Wang, Abdallah Talhaoui

    In this paper, we propose a new real one-dimensional cosine fractional (1-DCF) chaotic map. Several chaos-theory analysis tests demonstrate that the proposed map has many good cryptography properties, such as a highly chaotic behavior, a large chaotic range, an infinite number of unstable fixed points, and a widely superior sensitivity to the initial conditions than most of the low-dimensional chaotic

    更新日期:2020-08-10
  • 3D skull and face similarity measurements based on a harmonic wave kernel signature
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-10
    Dan Zhang, Zhongke Wu, Xingce Wang, Chenlei Lv, Na Liu

    Research regarding the similarity measurements of 3D craniofacial models (including 3D skull and face models) is an important research direction in fields such as archaeology, forensic science, and anthropology and represents a meaningful and challenging task. Its major challenges are the fact that 3D skulls are geometric models with multiple holes and complex topologies, there are facial expression

    更新日期:2020-08-10
  • Two-stream spatiotemporal feature fusion for human action recognition
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-09
    Amany Abdelbaky, Saleh Aly

    Human action recognition is still a challenging topic in the computer vision field that has attracted a large number of researchers. It has a significant importance in varieties of applications such as intelligent video surveillance, sports analysis, and human–computer interaction. Recent works attempt to exploit the progress in deep learning architecture to learn spatial and temporal features from

    更新日期:2020-08-09
  • Accurate estimation of feature points based on individual projective plane in video sequence
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-09
    Huajun Liu, Shiran Tang, Dian Lei, Qing Zhu, Haigang Sui, Gaojian Zhang, Chao Li

    The stability and quantity of feature matching in video sequence is one of the key issues for feature tracking and some relevant applications. The existing matching methods are based on feature detection, which is usually affected by illumination conditions, noise or occlusions, and this will directly influence matching results. In this paper, we propose an accurate prediction method for interest point

    更新日期:2020-08-09
  • Immersive visual scripting based on VR software design patterns for experiential training
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-08
    Paul Zikas, George Papagiannakis, Nick Lydatakis, Steve Kateros, Stavroula Ntoa, Ilia Adami, Constantine Stephanidis

    Virtual reality (VR) has re-emerged as a low-cost, highly accessible consumer product, and training on simulators is rapidly becoming standard in many industrial sectors. However, the available systems are either focusing on gaming context, featuring limited capabilities or they support only content creation of virtual environments without any rapid prototyping and modification. In this project, we

    更新日期:2020-08-09
  • Visual simulation of weathering coated metallic objects
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-08
    Akinori Ishitobi, Masanori Nakayama, Issei Fujishiro

    Weathering, referring to techniques for depicting outdoor objects as having suffered rain and wind damage, has a long history of research, and many methods can be found in the literature. Metal is a representative target of weathering, as metallic surface corrosion is a widespread deterioration phenomenon in our daily life. However, few weathering methods consider the effects of rust-preventive paint

    更新日期:2020-08-09
  • A high-discriminative facial recognition method based on shape and grey-level appearances using landmark-points
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-07
    Taner Cevik, Fatih Sahin

    This paper proposes a high-discriminative facial recognition method that fuses shape and grey-level features of faces. Facial landmark-points are characteristic to individuals, hence can be exploited for recognition. Spatial relationships of these landmark-points, namely their Euclidean distances between each other, are included in the feature set. Besides, the mean grey-level values calculated at

    更新日期:2020-08-08
  • A deep neural network model for content-based medical image retrieval with multi-view classification
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-07
    K. Karthik, S. Sowmya Kamath

    In medical applications, retrieving similar images from repositories is most essential for supporting diagnostic imaging-based clinical analysis and decision support systems. However, this is a challenging task, due to the multi-modal and multi-dimensional nature of medical images. In practical scenarios, the availability of large and balanced datasets that can be used for developing intelligent systems

    更新日期:2020-08-08
  • Overlapping region reconstruction in nuclei image segmentation
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-06
    Jing Zhao, Yining Xie, Lei Tang, Yongjun He

    Automatic screening systems play an increasingly important role in the diagnosis of pathologists. Image measurement and classification are the key techniques of automatic screening systems, which directly determine the performance. The distortion in grey and texture after overlapping nuclei segmentation seriously degrades the DNA content measurement and nuclei classification. In order to solve this

    更新日期:2020-08-06
  • Low-rank decomposition on transformed feature maps domain for image denoising
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-05
    Qiong Luo, Baichen Liu, Yang Zhang, Zhi Han, Yandong Tang

    Low-rank based models are proved outstanding for denoising on the data with strong repetitive or redundant property. However, for natural images with complex structures or rich details, the performance drops down because of the weak low-rankness of the data. A feasible solution is to transform the data into a suitable domain to further explore the underlying low-rank information. In this paper, we

    更新日期:2020-08-05
  • Robust turbulence simulation for particle-based fluids using the Rankine vortex model
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-04
    Xiaokun Wang, Sinuo Liu, Xiaojuan Ban, Yanrui Xu, Jing Zhou, Jiří Kosinka

    We propose a novel turbulence refinement method based on the Rankine vortex model for smoothed particle hydrodynamics (SPH) simulations. Surface details are enhanced by recovering the energy lost due to the lack of the rotation of SPH particles. The Rankine vortex model is used to convert the diffused and stretched angular kinetic energy of particles to the linear kinetic energy of their neighbors

    更新日期:2020-08-05
  • Language-invariant novel feature descriptors for handwritten numeral recognition
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-04
    Soulib Ghosh, Agneet Chatterjee, Pawan Kumar Singh, Showmik Bhowmik, Ram Sarkar

    Numeral recognition is treated as a benchmark research problem as this is a basic module for designing a comprehensive optical character recognition system. In this context, unconstrained handwritten numeral recognition is still considered as an open research problem. Most of the feature descriptors found in the literature for the said problem, work well for numeral images written in a particular language

    更新日期:2020-08-04
  • Auxiliary criterion conversion via spatiotemporal semantic encoding and feature entropy for action recognition
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-02
    Xiaoyan Meng, Guoliang Zhang, Songmin Jia, Xiuzhi Li, Xiangyin Zhang

    Video-based action recognition in realistic scenes is a core technology for human–computer interaction and smart surveillance. Although the trajectory features with the bag of visual words have confirmed promising performance, spatiotemporal interactive information cannot be effectively encoded which is valuable for classification. To address this issue, we propose a spatiotemporal semantic feature

    更新日期:2020-08-02
  • Semantic-aware label placement for augmented reality in street view
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-02
    Jianqing Jia, Semir Elezovikj, Heng Fan, Shuojin Yang, Jing Liu, Wei Guo, Chiu C. Tan, Haibin Ling

    In an augmented reality (AR) application, placing labels in a manner that is clear and readable without occluding the critical information from the real world can be a challenging problem. This paper introduces a label placement technique for AR used in street view scenarios. We propose a semantic-aware task-specific label placement method by identifying potentially important image regions through

    更新日期:2020-08-02
  • Single image deraining via deep shared pyramid network
    Vis. Comput. (IF 1.456) Pub Date : 2020-08-01
    Cong Wang, Xiaoying Xing, Guangle Yao, Zhixun Su

    Single image deraining is a highly ill-posed problem. Existing deep neural network-based algorithms usually use larger deep models to solve this problem, which is less effective and efficient. In this paper, we propose a deep neural network based on feature pyramid to solve image deraining. Our algorithm is motivated that the features at different pyramid levels share similar structures. Based on this

    更新日期:2020-08-01
  • Instance-level 3D shape retrieval from a single image by hybrid-representation-assisted joint embedding
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-31
    Qian-Fang Zou, Ligang Liu, Yang Liu

    We present a novel and effective joint embedding approach for retrieving the most similar 3D shape for a single image query. Our approach builds upon hybrid 3D representations—the octree-based representation and the multi-view image representation, which characterize shape geometry in different ways. We first pre-train a 3D feature space via jointly embedding 3D shapes with hybrid representations and

    更新日期:2020-08-01
  • Audio–visual object removal in 360-degree videos
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-31
    Ryo Shimamura, Qi Feng, Yuki Koyama, Takayuki Nakatsuka, Satoru Fukayama, Masahiro Hamasaki, Masataka Goto, Shigeo Morishima

    We present a novel concept audio–visual object removal in 360-degree videos, in which a target object in a 360-degree video is removed in both the visual and auditory domains synchronously. Previous methods have solely focused on the visual aspect of object removal using video inpainting techniques, resulting in videos with unreasonable remaining sounds corresponding to the removed objects. We propose

    更新日期:2020-07-31
  • Instance-vote-based motion detection using spatially extended hybrid feature space
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-30
    Rimjhim Padam Singh, Poonam Sharma

    Motion recognition, a trivial step employed in several video-based applications, is still a challenging task in real-world complex scenarios containing dynamic noise, varying backgrounds, shadows, improper illuminations, camouflages, etc. Numerous pixel-based change detection techniques employing varied combinations of different feature spaces have been proposed to efficiently overcome many real-world

    更新日期:2020-07-31
  • A blind image watermarking scheme combining spatial domain and frequency domain
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-30
    Zihan Yuan, Qingtang Su, Decheng Liu, Xueting Zhang

    In order to realize the copyright protection of color image effectively, combining the advantages of spatial-domain watermarking scheme and frequency-domain one, a blind color image watermarking scheme with high performance in the spatial domain is proposed in the paper. The presented scheme does not require real discrete cosine transform (DCT) and discrete Hartley transform (DHT), but only uses the

    更新日期:2020-07-30
  • Effects of individual’s emotions on saliency and visual search
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-29
    Miroslav Laco, Patrik Polatsek, Šimon Dekrét, Wanda Benesova, Martina Baránková, Bronislava Strnádelová, Jana Koróniová, Mária Gablíková

    Psychological studies have already proven a connection between emotional stimuli and visual attention. However, there is a lack of evidence of how much an individual’s mood influences visual information processing of emotionally neutral stimuli. In contrast to prior studies, we explored the effect of positive mood on bottom-up low-level visual saliency. In our extensive experimental studies, we induced

    更新日期:2020-07-30
  • A new construction of an image edge detection mask based on Caputo–Fabrizio fractional derivative
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-29
    N. Aboutabit

    In recent years, the research on image processing based on fractional calculus has attracted much attention. In this work, we proposed a new way to construct an image edge detection mask based on the fractional-order derivative using the Caputo–Fabrizio formulation. The proposed mask was experimented on a large dataset of natural images in both noiseless and noisy situations. In comparison with both

    更新日期:2020-07-30
  • Trajectory and image-based detection and identification of UAV
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-29
    Yicheng Liu, Luchuan Liao, Hao Wu, Jing Qin, Ling He, Gang Yang, Han Zhang, Jing Zhang

    Much more attentions have been attracted to the inspection and prevention of unmanned aerial vehicle (UAV) in the wake of increasing high frequency of security accident. Many factors like the interferences and the small fuselage of UAV pose challenges to the timely detection of the UAV. In our work, we present a system that is capable of detecting, recognizing, and tracking an UAV using single camera

    更新日期:2020-07-30
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