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  • 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
  • Correction to: Robust and blind image watermarking via circular embedding and bidimensional empirical mode decomposition
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-29
    Xiaochao Wang, Kun Hu, Jianping Hu, Ling Du, Anthony T. S. Ho, Hong Qin

    The publication of this article unfortunately contained mistakes. The affiliation and the biography of Ling Du were not correct. The corrected affiliation and bibliography is given below.

    更新日期:2020-07-29
  • A new storytelling genre: combining handicraft elements and storytelling via mixed reality technology
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-28
    Yingjie Song, Chenglei Yang, Wei Gai, Yulong Bian, Juan Liu

    Handicraft is a traditional cultural form which can improve children’s hands-on ability and spatial imagination ability. In addition, storytelling is another beneficial activity that can improve children’s language skill and creative power in their growing process. By combining handicraft elements and storytelling via mixed reality technology, this paper presents a new storytelling genre, which supports

    更新日期:2020-07-28
  • LinSSS: linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-28
    Tatsuya Yatagawa, Yasushi Yamaguchi, Shigeo Morishima

    Screen-space subsurface scattering is currently the most common approach to represent translucent materials in real-time rendering. However, most of the current approaches approximate the diffuse reflectance profile of translucent materials as a symmetric function, whereas the profile has an asymmetric shape in nature. To address this problem, we propose LinSSS, a numerical representation of heterogeneous

    更新日期:2020-07-28
  • Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-28
    Florian Scheidegger, Roxana Istrate, Giovanni Mariani, Luca Benini, Costas Bekas, Cristiano Malossi

    In the deep-learning community, new algorithms are published at a very fast pace. Therefore, solving an image classification problem for new datasets becomes a challenging task, as it requires to re-evaluate published algorithms and their different configurations in order to find a close to optimal classifier. To facilitate this process, before biasing our decision toward a class of neural networks

    更新日期:2020-07-28
  • Modeling rocky scenery using implicit blocks
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-26
    A. Paris, A. Peytavie, E. Guérin, J.-M. Dischler, E. Galin

    We present a novel geologically based method to generate vertical walls of rocky cliffs, crags or promontories. Our method procedurally generates a distribution of fractures in the bedrock to create a set of tiling blocks defined as implicit volumetric primitives. Blocks are in turn implicitly replicated over the vertical parts of the terrain and combined together to obtain a consistent volumetric

    更新日期:2020-07-27
  • Arbitrarily shaped Point Spread Function (PSF) estimation for single image blind deblurring
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-25
    Aftab Khan, Hujun Yin

    The research paper focuses on a challenging task faced in blind image deblurring (BID). It relates to the estimation of arbitrarily shaped (nonparametric or complex shaped) point spread functions (PSFs) of motion blur caused by camera handshake. These PSFs exhibit much more complex shapes than their parametric counterparts and deblurring, in this case, requires intricate ways to estimate the blur and

    更新日期:2020-07-25
  • AutoBiomes: procedural generation of multi-biome landscapes
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-24
    Roland Fischer, Philipp Dittmann, René Weller, Gabriel Zachmann

    Advances in computer technology and increasing usage of computer graphics in a broad field of applications lead to rapidly rising demands regarding size and detail of virtual landscapes. Manually creating huge, realistic looking terrains and populating them densely with assets is an expensive and laborious task. In consequence, (semi-)automatic procedural terrain generation is a popular method to reduce

    更新日期:2020-07-25
  • The improved image inpainting algorithm via encoder and similarity constraint
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-23
    Yuantao Chen, Linwu Liu, Jiajun Tao, Runlong Xia, Qian Zhang, Kai Yang, Jie Xiong, Xi Chen

    Existing image inpainting algorithms based on neural network models are affected by structural distortions and blurred textures on visible connectivity. As a result, overfitting and overlearning phenomena can easily emerge during the image inpainting procedure. Image inpainting refers to the repairing of missing parts of an image, given an image that is broken or incomplete. After the repairing operation

    更新日期:2020-07-24
  • Real-time hyper-amplification of planets
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-22
    Yann Cortial, Adrien Peytavie, Éric Galin, Éric Guérin

    We propose an original method for generating planets with a high level of detail in real time. Our approach relies on a procedural hyper-amplification algorithm: a controlled subdivision process that faithfully reproduces landforms and hydrosphere features at different scales. Starting from low-resolution user-defined control maps providing information about the elevation, the presence of large-scale

    更新日期:2020-07-23
  • Simplified non-locally dense network for single-image dehazing
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-22
    Zhihua Chen, Zhuoliang Hu, Bin Sheng, Ping Li, Jinman Kim, Enhua Wu

    Single-image dehazing is an ill-posed problem. Most previous methods focused on estimating intermediate parameters for input hazy images. In this paper, we propose a novel end-to-end Simplified Non-locally Dense Network (SNDN) which does not rely on intermediate parameters. To capture long-range dependencies, we propose a Simplified Non-local Dense Block (SNDB) which is lightweight and outperforms

    更新日期:2020-07-22
  • Unsupervised video-to-video translation with preservation of frame modification tendency
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-22
    Huajun Liu, Chao Li, Dian Lei, Qing Zhu

    Tremendous advances have been achieved in image translation with the employment of generative adversarial networks (GANs). With respect to video-to-video translation, similar idea has been leveraged by various researches, which may focus on the associations among relevant frames. However, the existing video-synthesis methods based on GANs do not make full exploitation of the spatial–temporal information

    更新日期:2020-07-22
  • Extended visual cryptography-based copyright protection scheme for multiple images and owners using LBP–SURF descriptors
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-22
    Sonal Kukreja, Geeta Kasana, Singara Singh Kasana

    Existing visual cryptography (VC)-based copyright protection schemes (Amiri and Mohaddam in Multimed Tools Appl 75(14):8527–8543, 2016; Liu and Wu in IET Inf Secur 5(2):121–128, 2011) for multiple images provide meaningless shares to the owners. These shares create a suspicion that some secret information is shared. Also, these schemes require the share of every owner to prove the copyright. If any

    更新日期:2020-07-22
  • Learning wavelet coefficients for face super-resolution
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-21
    Liu Ying, Sun Dinghua, Wang Fuping, Lim Keng Pang, Chiew Tuan Kiang, Lai Yi

    Face image super-resolution imaging is an important technology which can be utilized in crime scene investigations and public security. Modern CNN-based super-resolution produces excellent results in terms of peak signal-to-noise ratio and the structural similarity index (SSIM). However, perceptual quality is generally poor, and the details of the facial features are lost. To overcome this problem

    更新日期:2020-07-21
  • Text and graphics segmentation of newspapers printed in Gurmukhi script: a hybrid approach
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-20
    Rupinder Pal Kaur, M. K. Jindal, Munish Kumar

    Newspapers are always a standard medium to convey important information to masses of people in recent time as well as in old time. An automated system is required to convert information into a processable form so that information could be searchable. Many efforts have been done on Gurmukhi script documents in typed or written form, but very few articles are present on Gurmukhi script newspaper text

    更新日期:2020-07-21
  • A fast solution for Chinese calligraphy relief modeling from 2D handwriting image
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-18
    Yu-Wei Zhang, Jinlei Wang, Wenfei Long, Hui Liu, Caiming Zhang, Yanzhao Chen

    Calligraphy occupies a distinguished position in Chinese traditional culture. For long-term preservation, many calligraphy works have been carved on stones or woods in the form of relief. In this paper, we present a novel solution that enables fast modeling of Chinese calligraphy relief from 2D handwriting image, which benefits from the advances of deep learning. We first construct a relief dataset

    更新日期:2020-07-18
  • Shading-aware shadow detection and removal from a single image
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-18
    Xinyun Fan, Wenjun Wu, Ling Zhang, Qingan Yan, Gang Fu, Zipei Chen, Chengjiang Long, Chunxia Xiao

    Shadow removal is a challenging problem due to its sensitivity to lighting and material conditions. In this paper, we propose a shading-aware shadow processing algorithm, which can automatically detect and remove complex shadows from a single color image. Our framework consists of two key steps. We firstly conduct a shadow-preserving filter upon the image which will effectively remove the image texture

    更新日期:2020-07-18
  • Neural reflectance transformation imaging
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-17
    Tinsae G. Dulecha, Filippo A. Fanni, Federico Ponchio, Fabio Pellacini, Andrea Giachetti

    Reflectance transformation imaging (RTI) is a computational photography technique widely used in the cultural heritage and material science domains to characterize relieved surfaces. It basically consists of capturing multiple images from a fixed viewpoint with varying lights. Handling the potentially huge amount of information stored in an RTI acquisition that consists typically of 50–100 RGB values

    更新日期:2020-07-17
  • Robust and blind image watermarking via circular embedding and bidimensional empirical mode decomposition
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-16
    Xiaochao Wang, Kun Hu, Jianping Hu, Ling Du, Anthony T. S. Ho, Hong Qin

    In this paper, a robust and blind image watermarking algorithm via circular embedding and bidimensional empirical mode decomposition (BEMD) is developed. First, the watermark image is scrambled by Arnold transform to increase the security of the algorithm. Second, the Hilbert curve is adopted to reduce the scrambled 2D watermark image to one-dimensional watermark signal. Third, the host image is decomposed

    更新日期:2020-07-17
  • Collaborative SLAM and AR-guided navigation for floor layout inspection
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-16
    Kihyun Yu, JeongHyeon Ahn, Jongmin Lee, Myungho Kim, JungHyun Han

    This paper presents how visual SLAM and AR interfaces are integrated for inspecting the floor layouts, which is a standard stage in building a semiconductor fabrication plant (commonly called a fab). The proposed system supports multiple inspectors working in a large fab floor through client–server communications. The inspectors/clients scan the fab floor using smartphones to construct the floor map

    更新日期:2020-07-17
  • ST Sequence Miner: visualization and mining of spatio-temporal event sequences
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-16
    Baran Koseoglu, Erdem Kaya, Selim Balcisoy, Burcin Bozkaya

    As a promising field of research, event sequence analysis seems to assist in facilitating clear reasoning behind human decisions by mining reality behind the sequential actions. Mining frequent patterns from event sequences has proved to be promising in extracting actionable insights, which plays an important role in many application domains. Much of the related work challenges the problem solely from

    更新日期:2020-07-16
  • Real-time dense 3D reconstruction and camera tracking via embedded planes representation
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-15
    Yanping Fu, Qingan Yan, Jie Liao, Alix L. H. Chow, Chunxia Xiao

    This paper proposes a novel approach for robust plane matching and real-time RGB-D fusion based on the representation of plane parameter space. In contrast to previous planar-based SLAM algorithms estimating correspondences for each plane-pair independently, our method instead explores the holistic topology of all relevant planes. We note that by adopting the low-dimensionality parameter space representation

    更新日期:2020-07-15
  • 3D hand mesh reconstruction from a monocular RGB image
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-14
    Hao Peng, Chuhua Xian, Yunbo Zhang

    Most of the existing methods for 3D hand analysis based on RGB images mainly focus on estimating hand keypoints or poses, which cannot capture geometric details of the 3D hand shape. In this work, we propose a novel method to reconstruct a 3D hand mesh from a single monocular RGB image. Different from current parameter-based or pose-based methods, our proposed method directly estimates the 3D hand

    更新日期:2020-07-15
  • Rasterisation-based progressive photon mapping
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-14
    Iordanis Evangelou, Georgios Papaioannou, Konstantinos Vardis, Andreas A. Vasilakis

    Ray tracing on the GPU has been synergistically operating alongside rasterisation in interactive rendering engines for some time now, in order to accurately capture certain illumination effects. In the same spirit, in this paper, we propose an implementation of progressive photon mapping entirely on the rasterisation pipeline, which is agnostic to the specific GPU architecture, in order to synthesise

    更新日期:2020-07-15
  • PGCNet: patch graph convolutional network for point cloud segmentation of indoor scenes
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-14
    Yuliang Sun, Yongwei Miao, Jiazhou Chen, Renato Pajarola

    Semantic segmentation of 3D point clouds is a crucial task in scene understanding and is also fundamental to indoor scene applications such as indoor navigation, mobile robotics, augmented reality. Recently, deep learning frameworks have been successfully adopted to point clouds but are limited by the size of data. While most existing works focus on individual sampling points, we use surface patches

    更新日期:2020-07-14
  • A density-accurate tracking solution for smoke upresolution
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-12
    Arnaud Schoentgen, Jonas Zehnder, Pierre Poulin, Bernhard Thomaszewski, Philippe Meseure, Emmanuelle Darles

    Controlling smoke simulations is a notoriously challenging and tedious task, usually requiring many trial-and-error iterations that prevent using expensive computations at high resolutions. Unfortunately, naïvely going from a more efficient low-resolution simulation to a high-quality high-resolution simulation usually results in a different behavior of smoke animation. Moreover, the longer the animation

    更新日期:2020-07-13
  • Unveiling the implicit knowledge, one scenario at a time
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-12
    Flavien Lécuyer, Valérie Gouranton, Aurélien Lamercerie, Adrien Reuzeau, Benoît Caillaud, Bruno Arnaldi

    When defining virtual reality applications with complex procedures, such as medical operations or mechanical assembly or maintenance procedures, the complexity and the variability of the procedures make the definition of the scenario difficult and time-consuming. Indeed, the variability complicates the definition of the scenario by the experts, and its combinatorics demand a comprehension effort for

    更新日期:2020-07-13
  • Simulation of multi-solvent stains on textile
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-11
    Yi Zheng, Lei Ma, Yanyun Chen, Guangzheng Fei, Bin Sheng, Enhua Wu

    With the recent development of stains simulation on warp-weft style fabric materials, high realistic visual effects of real-life stains can be plausibly simulated effectively. However, the previous method relies on the limited single solvent dyeing assumption, while in the real world, the fabric is often contaminated by different stains simultaneously. To tackle the multi-stains simulation problem

    更新日期:2020-07-13
  • Position-based augmented reality platform for aiding construction and inspection of offshore plants
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-10
    Junho Choi, Moon Gu Son, Yong Yi Lee, Kwan H. Lee, Jin Pyo Park, Chang Hun Yeo, Jungseo Park, Sungin Choi, Won Don Kim, Tae Won Kang, Kwanghee Ko

    We propose an augmented reality platform to help workers with fabrication and inspection of offshore structures. The platform is designed to work under various constraints that are commonly encountered in an industrial environment and often make the existing AR methods fail to work properly. It consists of modules for tracking, registration, and augmentation. The tracking module estimates the worker’s

    更新日期:2020-07-10
  • (SARN)spatial-wise attention residual network for image super-resolution
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-10
    Wenling Shi, Huiqian Du, Wenbo Mei, Zhifeng Ma

    Recent research suggests that attention mechanism is capable of improving performance of deep learning-based single image super-resolution (SISR) methods. In this work, we propose a deep spatial-wise attention residual network (SARN) for SISR. Specifically, we propose a novel spatial attention block (SAB) to rescale pixel-wise features by explicitly modeling interdependencies between pixels on each

    更新日期:2020-07-10
  • SafeXR: alerting walking persons to obstacles in mobile XR environments
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-10
    HyeongYeop Kang, JungHyun Han

    The increasing performance of smartphones has made it possible for people to enjoy various mobile XR applications as they walk. Due to the limit of human capability of multitasking, however, it may compromise mobile users’ safety. In this paper, we propose a safety assistance system for walking smartphone users, which utilizes only the smartphone’s built-in sensors. Our solution detects obstacles by

    更新日期:2020-07-10
  • What we see in a photograph: content selection for image captioning
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-10
    Georgios Barlas, Christos Veinidis, Avi Arampatzis

    We propose and experimentally investigate the usefulness of several features for selecting image content (objects) suitable for image captioning. The approach taken explores three broad categories of features, namely geometric, conceptual, and visual. Experiments suggest that widely known geometric ‘rules’ in art–aesthetics or photography (such as the golden ratio or the rule-of-thirds) and facts about

    更新日期:2020-07-10
  • Dense feature pyramid network for cartoon dog parsing
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-09
    Jerome Wan, Guillaume Mougeot, Xubo Yang

    While traditional cartoon character drawings are simple for humans to create, it remains a highly challenging task for machines to interpret. Parsing is a way to alleviate the issue with fine-grained semantic segmentation of images. Although well studied on naturalistic images, research toward cartoon parsing is very sparse. Due to the lack of available dataset and the diversity of artwork styles,

    更新日期:2020-07-10
  • Total generalized variation-based Retinex image decomposition
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-09
    Chunxue Wang, Huayan Zhang, Ligang Liu

    Human visual system (HVS) can perceive color under varying illumination conditions, and Retinex theory is precisely aimed to simulate and explain how the HVS perceives reflectance regardless of different illumination conditions. In this paper, we introduce a reflectance and illumination decomposition model for the Retinex problem via total generalized variation regularization and \(H^{1}\) decomposition

    更新日期:2020-07-09
  • A completely parallel surface reconstruction method for particle-based fluids
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-06
    Wencong Yang, Chengying Gao

    We present a novel surface reconstruction pipeline that significantly improves reconstructing efficiency while preserves high-quality details for particle-based liquid simulation. Our surface reconstruction algorithm is a sort of completely parallel narrow band method. At the beginning of reconstruction, we develop a spatial hashing grid-based strategy to identify surface particles, which is much more

    更新日期:2020-07-07
  • OLBVH: octree linear bounding volume hierarchy for volumetric meshes
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-06
    Daniel Ströter, Johannes S. Mueller-Roemer, André Stork, Dieter W. Fellner

    We present a novel bounding volume hierarchy for GPU-accelerated direct volume rendering (DVR) as well as volumetric mesh slicing and inside-outside intersection testing. Our novel octree-based data structure is laid out linearly in memory using space filling Morton curves. As our new data structure results in tightly fitting bounding volumes, boundary markers can be associated with nodes in the hierarchy

    更新日期:2020-07-06
  • AestheticNet: deep convolutional neural network for person identification from visual aesthetic
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-04
    A. S. M. Hossain Bari, Brandon Sieu, Marina L. Gavrilova

    A person’s visual aesthetics is an emerging behavioral biometric. Visual aesthetics can be defined as a person’s principles pertaining to their sense of beauty or fondness. Utilizing a person’s preference to certain images as discriminatory features forms the basis of person identification from visual aesthetics. This paper proposes a novel three-stage framework based on the convolutional neural network

    更新日期:2020-07-05
  • Relaxing topological surfaces in four dimensions
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-04
    Hui Zhang, Huan Liu

    In this paper, we show the use of visualization and topological relaxation methods to analyze and understand the underlying structure of mathematical surfaces embedded in 4D. When projected from 4D to 3D space, mathematical surfaces often twist, turn, and fold back on themselves, leaving their underlying structures behind their 3D figures. Our approach combines computer graphics, relaxation algorithm

    更新日期:2020-07-05
  • Detection of defects in voltage-dependent resistors using stacked-block-based convolutional neural networks
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-02
    Tiejun Yang, Tianshu Zhang, Lin Huang

    Voltage-dependent resistors (VDRs) are important circuit-protection devices. Their performance is affected by packaging quality. To identify VDR packaging defects more accurately and efficiently, we have proposed a convolutional neural network (CNN)-based VDR appearance quality inspection method that includes four stages: image acquisition, data augmentation, neural architecture design, and CNN training

    更新日期:2020-07-03
  • Automatic detection of pulmonary nodules in CT images based on 3D Res-I network
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-01
    Lukui Shi, Hongqi Ma, Jun Zhang

    It is difficult for the existing detection methods of the pulmonary nodules to take into account the global and local features simultaneously. It will lead to over-fitting and lower sensitivity since the extracted features of 3D pulmonary nodules is too complex. To solve these problems, a model based an improved 3D residual structure (3D Res-I) was proposed to detect pulmonary nodules. In the model

    更新日期:2020-07-02
  • Correction to: Automated recognition of 3D pipelines from point clouds
    Vis. Comput. (IF 1.456) Pub Date : 2020-07-01
    Inyoung Oh, Kwnag Hee Ko

    The publication of this article unfortunately contained a mistake. The spelling of the Kwang Hee Kos’ name was incorrect. The corrected name is given above.

    更新日期:2020-07-01
  • An improved landmark-driven and spatial–channel attentive convolutional neural network for fashion clothes classification
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-29
    Majuran Shajini, Amirthalingam Ramanan

    Fashion clothes classification encompasses spotting and identifying items of clothing in an image. This area of research has involved using deep neural networks to make an impact in the field of social media, e-commerce and fashion world. In this paper, we propose an attention-driven technique for tackling visual fashion clothes analysis in images, aiming to achieve clothing category classification

    更新日期:2020-06-29
  • Underwater image compression using energy based adaptive block compressive sensing for IoUT applications
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-27
    R. Monika, Dhanalakshmi Samiappan, R. Kumar

    Internet of Underwater Things (IoUT) consists of a large number of interconnected resource-constrained underwater devices that are capable of monitoring vast unexplored water bodies. Specifically, these devices are equipped with cameras to capture the underwater scenes and communicate them with each other and also with the cloud. However the data generated is very high which limits the performance

    更新日期:2020-06-28
  • A contour self-compensated network for salient object detection
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-27
    Yanan Wang, Huawei Wang, Jianzhong Cao

    Given that existing salient object detection methods cannot effectively predict the fine contours of salient objects when extracting local or global contexts and features, we propose a novel contour self-compensated network (CSCNet) to generate a more accurate saliency map with complete contour. Unlike the common binary saliency detection, we reconstruct the salient object detection problem into a

    更新日期:2020-06-28
  • Multi-frame feature-fusion-based model for violence detection
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-24
    Mujtaba Asad, Jie Yang, Jiang He, Pourya Shamsolmoali, Xiangjian He

    Human behavior detection is essential for public safety and monitoring. However, in human-based surveillance systems, it requires continuous human attention and observation, which is a difficult task. Detection of violent human behavior using autonomous surveillance systems is of critical importance for uninterrupted video surveillance. In this paper, we propose a novel method to detect fights or violent

    更新日期:2020-06-24
  • A novel application framework for self-supporting topology optimization
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-23
    Dengyang Zhao, Ming Li, Yusheng Liu

    This paper presents an application framework that provides a complete process to design an optimized self-supporting structure, ready to be fabricated via additive manufacturing without the usage of additional support structures. Such supports in general have to be created during the fabricating process so that the primary object can be manufactured layer by layer without collapse; this process is

    更新日期:2020-06-23
  • Benchmarking commercial emotion detection systems using realistic distortions of facial image datasets
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-23
    Kangning Yang, Chaofan Wang, Zhanna Sarsenbayeva, Benjamin Tag, Tilman Dingler, Greg Wadley, Jorge Goncalves

    Currently, there are several widely used commercial cloud-based services that attempt to recognize an individual’s emotions based on their facial expressions. Most research into facial emotion recognition has used high-resolution, front-oriented, full-face images. However, when images are collected in naturalistic settings (e.g., using smartphone’s frontal camera), these images are likely to be far

    更新日期:2020-06-23
  • Adaptive estimation of Hodge star operator on simplicial surfaces
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-22
    A. F. El Ouafdi, H. El Houari, D. Ziou

    The Hodge star operator is a fundamental component of the second-order differential operators that bridges constitutive physical laws, as a matter of fact, it plays a central role in geometry processing and physical simulation. To be admissible, the discrete Hodge operators should be regular, symmetric, sparse and positive definite. Unfortunately, the last criteria is rarely met in the literature,

    更新日期:2020-06-23
  • Radiometric model for plenoptic image formation
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-21
    Julien Couillaud, Djemel Ziou

    This paper presents a general plenoptic image formation model based on light ray radiometry. Most existing plenoptic image formation models focus on projection geometry inside a camera equipped with a specific optical device, such as an array of micro-thin-lenses, while light ray radiometry is incomplete or simply neglected. This study aims to describe a general view of light ray radiometry that is

    更新日期:2020-06-23
  • FLAG: feature learning with additional guidance for person search
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-19
    Zhicheng Chen, Xinbi Lv, Tianli Sun, Cairong Zhao, Wei Chen

    Person search is a challenging computer vision task that handles and optimizes both pedestrian detection and person re-identification simultaneously. Person search is also closer to real-world applications compared to person re-identification. Existing person search works mainly focused on refining loss functions, using more complex network structures or redefining the person search as another task

    更新日期:2020-06-23
  • Real-time saliency detection for greyscale and colour images
    Vis. Comput. (IF 1.456) Pub Date : 2020-06-13
    Jian-Feng Shi, Steve Ulrich, Stéphane Ruel

    Unsupervised salient image generation without the aid of prior assumptions has many applications in computer vision. We present three unique real-time saliency generation algorithms that provide state-of-the-art performance for greyscale and colour images. Our fastest method run under 50 ms per frame on average. Our algorithm introduces a novel weighted histogram of orientation feature to supplement

    更新日期:2020-06-13
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