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  • Detecting human—object interaction with multi-level pairwise feature network
    Comp. Visual Media Pub Date : 2020-10-19
    Hanchao Liu, Tai-Jiang Mu, Xiaolei Huang

    Human–object interaction (HOI) detection is crucial for human-centric image understanding which aims to infer ⟨human, action, object⟩ triplets within an image. Recent studies often exploit visual features and the spatial configuration of a human–object pair in order to learn the action linking the human and object in the pair. We argue that such a paradigm of pairwise feature extraction and action

    更新日期:2020-10-19
  • Computing knots by quadratic and cubic polynomial curves
    Comp. Visual Media Pub Date : 2020-10-17
    Fan Zhang, Jinjiang Li, Peiqiang Liu, Hui Fan

    A new method is presented to determine parameter values (knot) for data points for curve and surface generation. With four adjacent data points, a quadratic polynomial curve can be determined uniquely if the four points form a convex polygon. When the four data points do not form a convex polygon, a cubic polynomial curve with one degree of freedom is used to interpolate the four points, so that the

    更新日期:2020-10-17
  • Weight asynchronous update: Improving the diversity of filters in a deep convolutional network
    Comp. Visual Media Pub Date : 2020-10-17
    Dejun Zhang, Linchao He, Mengting Luo, Zhanya Xu, Fazhi He

    Deep convolutional networks have obtained remarkable achievements on various visual tasks due to their strong ability to learn a variety of features. A well-trained deep convolutional network can be compressed to 20%–40% of its original size by removing filters that make little contribution, as many overlapping features are generated by redundant filters. Model compression can reduce the number of

    更新日期:2020-10-17
  • A new dataset of dog breed images and a benchmark for finegrained classification
    Comp. Visual Media Pub Date : 2020-10-01
    Ding-Nan Zou, Song-Hai Zhang, Tai-Jiang Mu, Min Zhang

    In this paper, we introduce an image dataset for fine-grained classification of dog breeds: the Tsinghua Dogs Dataset. It is currently the largest dataset for fine-grained classification of dogs, including 130 dog breeds and 70,428 real-world images. It has only one dog in each image and provides annotated bounding boxes for the whole body and head. In comparison to previous similar datasets, it contains

    更新日期:2020-10-02
  • Kernel-blending connection approximated by a neural network for image classification
    Comp. Visual Media Pub Date : 2020-09-14
    Xinxin Liu, Yunfeng Zhang, Fangxun Bao, Kai Shao, Ziyi Sun, Caiming Zhang

    This paper proposes a kernel-blending connection approximated by a neural network (KBNN) for image classification. A kernel mapping connection structure, guaranteed by the function approximation theorem, is devised to blend feature extraction and feature classification through neural network learning. First, a feature extractor learns features from the raw images. Next, an automatically constructed

    更新日期:2020-09-14
  • Efficient fall activity recognition by combining shape and motion features
    Comp. Visual Media Pub Date : 2020-09-12
    Abderrazak Iazzi; Mohammed Rziza; Rachid Oulad Haj Thami

    This paper presents a vision-based system for recognizing when elderly adults fall. A fall is characterized by shape deformation and high motion. We represent shape variation using three features, the aspect ratio of the bounding box, the orientation of an ellipse representing the body, and the aspect ratio of the projection histogram. For motion variation, we extract several features from three blocks

    更新日期:2020-09-12
  • Coherent video generation for multiple hand-held cameras with dynamic foreground
    Comp. Visual Media Pub Date : 2020-09-03
    Fang-Lue Zhang; Connelly Barnes; Hao-Tian Zhang; Junhong Zhao; Gabriel Salas

    For many social events such as public performances, multiple hand-held cameras may capture the same event. This footage is often collected by amateur cinematographers who typically have little control over the scene and may not pay close attention to the camera. For these reasons, each individually captured video may fail to cover the whole time of the event, or may lose track of interesting foreground

    更新日期:2020-09-03
  • A survey of recent interactive image segmentation methods
    Comp. Visual Media Pub Date : 2020-08-22
    Hiba Ramadan, Chaymae Lachqar, Hamid Tairi

    Image segmentation is one of the most basic tasks in computer vision and remains an initial step of many applications. In this paper, we focus on interactive image segmentation (IIS), often referred to as foreground-background separation or object extraction, guided by user interaction. We provide an overview of the IIS literature by covering more than 150 publications, especially recent works that

    更新日期:2020-08-23
  • 3D computational modeling and perceptual analysis of kinetic depth effects
    Comp. Visual Media Pub Date : 2020-08-13
    Meng-Yao Cui; Shao-Ping Lu; Miao Wang; Yong-Liang Yang; Yu-Kun Lai; Paul L. Rosin

    Humans have the ability to perceive kinetic depth effects, i.e., to perceived 3D shapes from 2D projections of rotating 3D objects. This process is based on a variety of visual cues such as lighting and shading effects. However, when such cues are weak or missing, perception can become faulty, as demonstrated by the famous silhouette illusion example of the spinning dancer. Inspired by this, we establish

    更新日期:2020-08-13
  • Visual exploration of Internet news via sentiment score and topic models
    Comp. Visual Media Pub Date : 2020-08-04
    Songye Han; Shaojie Ye; Hongxin Zhang

    Analyzing and understanding Internet news are important for many applications, such as market sentiment investigation and crisis management. However, it is challenging for users to interpret a massive amount of unstructured text, to dig out its accurate meaning, and to spot noteworthy news events. To overcome these challenges, we propose a novel visualization-driven approach for analyzing news text

    更新日期:2020-08-04
  • View planning in robot active vision: A survey of systems, algorithms, and applications
    Comp. Visual Media Pub Date : 2020-08-01
    Rui Zeng; Yuhui Wen; Wang Zhao; Yong-Jin Liu

    Rapid development of artificial intelligence motivates researchers to expand the capabilities of intelligent and autonomous robots. In many robotic applications, robots are required to make planning decisions based on perceptual information to achieve diverse goals in an efficient and effective way. The planning problem has been investigated in active robot vision, in which a robot analyzes its environment

    更新日期:2020-08-01
  • Multispectral image denoising using sparse and graph Laplacian Tucker decomposition
    Comp. Visual Media Pub Date : 2020-07-20
    Xiaoce Wu; Bingyin Zhou; Qingyun Ren; Wei Guo

    Multispectral image denoising is a basic problem whose results affect subsequent processes such as target detection and classification. Numerous approaches have been proposed, but there are still many challenges, particularly in using prior knowledge of multispectral images, which is crucial for solving the ill-posed problem of noise removal. This paper considers both non-local self-similarity in space

    更新日期:2020-07-20
  • iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks
    Comp. Visual Media Pub Date : 2020-07-20
    Aman Chadha; John Britto; M. Mani Roja

    Recently, learning-based models have enhanced the performance of single-image super-resolution (SISR). However, applying SISR successively to each video frame leads to a lack of temporal coherency. Convolutional neural networks (CNNs) outperform traditional approaches in terms of image quality metrics such as peak signal to noise ratio (PSNR) and structural similarity (SSIM). On the other hand, generative

    更新日期:2020-07-20
  • Psychological potential field and human eye fixation on binary line-drawing images: A comparative experimental study
    Comp. Visual Media Pub Date : 2020-06-10
    Naoyuki Awano; Yuki Hayashi

    Quantitatively evaluating the psychological and perceptual effects of objects is an important issue, but is difficult. In cognitive studies, the psychological potential field (PPF), which represents psychological intensities in vision and can be calculated by applying computational algorithms to digital images, may help with this issue. Although studies have reported using the PPF to evaluate psychological

    更新日期:2020-06-10
  • A survey on deep geometry learning: From a representation perspective
    Comp. Visual Media Pub Date : 2020-06-10
    Yun-Peng Xiao; Yu-Kun Lai; Fang-Lue Zhang; Chunpeng Li; Lin Gao

    Researchers have achieved great success in dealing with 2D images using deep learning. In recent years, 3D computer vision and geometry deep learning have gained ever more attention. Many advanced techniques for 3D shapes have been proposed for different applications. Unlike 2D images, which can be uniformly represented by a regular grid of pixels, 3D shapes have various representations, such as depth

    更新日期:2020-06-10
  • 3D hypothesis clustering for cross-view matching in multi-person motion capture
    Comp. Visual Media Pub Date : 2020-06-10
    Miaopeng Li; Zimeng Zhou; Xinguo Liu

    We present a multiview method for markerless motion capture of multiple people. The main challenge in this problem is to determine cross-view correspondences for the 2D joints in the presence of noise. We propose a 3D hypothesis clustering technique to solve this problem. The core idea is to transform joint matching in 2D space into a clustering problem in a 3D hypothesis space. In this way, evidence

    更新日期:2020-06-10
  • S4Net: Single stage salient-instance segmentation
    Comp. Visual Media Pub Date : 2020-06-10
    Ruochen Fan; Ming-Ming Cheng; Qibin Hou; Tai-Jiang Mu; Jingdong Wang; Shi-Min Hu

    In this paper, we consider salient instance segmentation. As well as producing bounding boxes, our network also outputs high-quality instance-level segments as initial selections to indicate the regions of interest. Taking into account the category-independent property of each target, we design a single stage salient instance segmentation framework, with a novel segmentation branch. Our new branch

    更新日期:2020-06-10
  • Saliency-based image correction for colorblind patients
    Comp. Visual Media Pub Date : 2020-06-10
    Jinjiang Li; Xiaomei Feng; Hui Fan

    Improper functioning, or lack, of human cone cells leads to vision defects, making it impossible for affected persons to distinguish certain colors. Colorblind persons have color perception, but their ability to capture color information differs from that of normal people: colorblind and normal people perceive the same image differently. It is necessary to devise solutions to help persons with color

    更新日期:2020-06-10
  • JMNet: A joint matting network for automatic human matting
    Comp. Visual Media Pub Date : 2020-04-14
    Xian Wu; Xiao-Nan Fang; Tao Chen; Fang-Lue Zhang

    We propose a novel end-to-end deep learning framework, the Joint Matting Network (JMNet), to automatically generate alpha mattes for human images. We utilize the intrinsic structures of the human body as seen in images by introducing a pose estimation module, which can provide both global structural guidance and a local attention focus for the matting task. Our network model includes a pose network

    更新日期:2020-04-14
  • A detail preserving neural network model for Monte Carlo denoising
    Comp. Visual Media Pub Date : 2020-04-02
    Weiheng Lin; Beibei Wang; Lu Wang; Nicolas Holzschuch

    Monte Carlo based methods such as path tracing are widely used in movie production. To achieve low noise, they require many samples per pixel, resulting in long rendering time. To reduce the cost, one solution is Monte Carlo denoising, which renders the image with fewer samples per pixel (as little as 128) and then denoises the resulting image. Many Monte Carlo denoising methods rely on deep learning:

    更新日期:2020-04-02
  • G2MF-WA: Geometric multi-model fitting with weakly annotated data
    Comp. Visual Media Pub Date : 2020-04-02
    Chao Zhang; Xuequan Lu; Katsuya Hotta; Xi Yang

    In this paper we address the problem of geometric multi-model fitting using a few weakly annotated data points, which has been little studied so far. In weak annotating (WA), most manual annotations are supposed to be correct yet inevitably mixed with incorrect ones. SuchWA data can naturally arise through interaction in various tasks. For example, in the case of homography estimation, one can easily

    更新日期:2020-04-02
  • What and where: A context-based recommendation system for object insertion
    Comp. Visual Media Pub Date : 2020-04-02
    Song-Hai Zhang; Zheng-Ping Zhou; Bin Liu; Xi Dong; Peter Hall

    We propose a novel problem revolving around two tasks: (i) given a scene, recommend objects to insert, and (ii) given an object category, retrieve suitable background scenes. A bounding box for the inserted object is predicted in both tasks, which helps downstream applications such as semiautomated advertising and video composition. The major challenge lies in the fact that the target object is neither

    更新日期:2020-04-02
  • WaterNet: An adaptive matching pipeline for segmenting water with volatile appearance
    Comp. Visual Media Pub Date : 2020-03-23
    Yongqing Liang; Navid Jafari; Xing Luo; Qin Chen; Yanpeng Cao; Xin Li

    We develop a novel network to segment water with significant appearance variation in videos. Unlike existing state-of-the-art video segmentation approaches that use a pre-trained feature recognition network and several previous frames to guide segmentation, we accommodate the object’s appearance variation by considering features observed from the current frame. When dealing with segmentation of objects

    更新日期:2020-03-23
  • Learning local shape descriptors for computing non-rigid dense correspondence
    Comp. Visual Media Pub Date : 2020-03-23
    Jianwei Guo; Hanyu Wang; Zhanglin Cheng; Xiaopeng Zhang; Dong-Ming Yan

    A discriminative local shape descriptor plays an important role in various applications. In this paper, we present a novel deep learning framework that derives discriminative local descriptors for deformable 3D shapes. We use local “geometry images” to encode the multi-scale local features of a point, via an intrinsic parameterization method based on geodesic polar coordinates. This new parameterization

    更新日期:2020-03-23
  • VR content creation and exploration with deep learning: A survey
    Comp. Visual Media Pub Date : 2020-03-23
    Miao Wang; Xu-Quan Lyu; Yi-Jun Li; Fang-Lue Zhang

    Virtual reality (VR) offers an artificial, computer generated simulation of a real life environment. It originated in the 1960s and has evolved to provide increasing immersion, interactivity, imagination, and intelligence. Because deep learning systems are able to represent and compose information at various levels in a deep hierarchical fashion, they can build very powerful models which leverage large

    更新日期:2020-03-23
  • A practical path guiding method for participating media
    Comp. Visual Media Pub Date : 2020-03-23
    Hong Deng; Beibei Wang; Rui Wang; Nicolas Holzschuch

    Rendering translucent materials is costly: light transport algorithms need to simulate a large number of scattering events inside the material before reaching convergence. The cost is especially high for materials with a large albedo or a small mean-free-path, where higher-order scattering effects dominate. In simple terms, the paths get lost in the medium. Path guiding has been proposed for surface

    更新日期:2020-03-23
  • Real-time rendering of layered materials with anisotropic normal distributions
    Comp. Visual Media Pub Date : 2020-01-27
    Tomoya Yamaguchi; Tatsuya Yatagawa; Yusuke Tokuyoshi; Shigeo Morishima

    This paper proposes a lightweight bidirectional scattering distribution function (BSDF) model for layered materials with anisotropic reflection and refraction properties. In our method, each layer of the materials can be described by a microfacet BSDF using an anisotropic normal distribution function (NDF). Furthermore, the NDFs of layers can be defined on tangent vector fields, which differ from layer

    更新日期:2020-01-27
  • Efficient ray casting of volumetric images using distance maps for empty space skipping
    Comp. Visual Media Pub Date : 2020-01-23
    Lachlan J. Deakin; Mark A. Knackstedt

    Volume and isosurface rendering are methods of projecting volumetric images to two dimensions for visualisation. These methods are common in medical imaging and scientific visualisation.Head-mounted optical see-through displays have recently become an affordable technology and are a promising platform for volumetric image visualisation. Images displayed on a head-mounted display must be presented at

    更新日期:2020-01-23
  • Reconstructing piecewise planar scenes with multi-view regularization
    Comp. Visual Media Pub Date : 2020-01-17
    Weijie Xi; Xuejin Chen

    Reconstruction of man-made scenes from multi-view images is an important problem in computer vision and computer graphics. Observing that man-made scenes are usually composed of planar surfaces, we encode plane shape prior in reconstructing man-made scenes. Recent approaches for single-view reconstruction employ multi-branch neural networks to simultaneously segment planes and recover 3D plane parameters

    更新日期:2020-01-17
  • Adaptive deep residual network for single image super-resolution
    Comp. Visual Media Pub Date : 2020-01-17
    Shuai Liu; Ruipeng Gang; Chenghua Li; Ruixia Song

    In recent years, deep learning has achieved great success in the field of image processing. In the single image super-resolution (SISR) task, the convolutional neural network (CNN) extracts the features of the image through deeper layers, and has achieved impressive results. In this paper, we propose a single image super-resolution model based on Adaptive Deep Residual named as ADR-SR, which uses the

    更新日期:2020-01-17
  • SpinNet: Spinning convolutional network for lane boundary detection
    Comp. Visual Media Pub Date : 2020-01-17
    Ruochen Fan; Xuanrun Wang; Qibin Hou; Hanchao Liu; Tai-Jiang Mu

    In this paper, we propose a simple but effective framework for lane boundary detection, called SpinNet. Considering that cars or pedestrians often occlude lane boundaries and that the local features of lane boundaries are not distinctive, therefore, analyzing and collecting global context information is crucial for lane boundary detection. To this end, we design a novel spinning convolution layer and

    更新日期:2020-01-17
  • InSocialNet: Interactive visual analytics for role—event videos
    Comp. Visual Media Pub Date : 2020-01-17
    Yaohua Pan; Zhibin Niu; Jing Wu; Jiawan Zhang

    Role–event videos are rich in information but challenging to be understood at the story level. The social roles and behavior patterns of characters largely depend on the interactions among characters and the background events. Understanding them requires analysis of the video contents for a long duration, which is beyond the ability of current algorithms designed for analyzing short-time dynamics.

    更新日期:2020-01-17
  • Mixed reality based respiratory liver tumor puncture navigation
    Comp. Visual Media Pub Date : 2020-01-17
    Ruotong Li; Weixin Si; Xiangyun Liao; Qiong Wang; Reinhard Klein; Pheng-Ann Heng

    This paper presents a novel mixed reality based navigation system for accurate respiratory liver tumor punctures in radiofrequency ablation (RFA). Our system contains an optical see-through head-mounted display device (OST-HMD), Microsoft HoloLens for perfectly overlaying the virtual information on the patient, and a optical tracking system NDI Polaris for calibrating the surgical utilities in the

    更新日期:2020-01-17
  • Interactive modeling of lofted shapes from a single image
    Comp. Visual Media Pub Date : 2019-12-04
    Congyue Deng; Jiahui Huang; Yong-Liang Yang

    Modeling the complete geometry of general shapes from a single image is an ill-posed problem. User hints are often incorporated to resolve ambiguities and provide guidance during the modeling process. In this work, we present a novel interactive approach for extracting high-quality freeform shapes from a single image. This is inspired by the popular lofting technique in many CAD systems, and only requires

    更新日期:2019-12-04
  • A three-stage real-time detector for traffic signs in large panoramas
    Comp. Visual Media Pub Date : 2019-09-04
    Yizhi Song; Ruochen Fan; Sharon Huang; Zhe Zhu; Ruofeng Tong

    Traffic sign detection is one of the key components in autonomous driving. Advanced autonomous vehicles armed with high quality sensors capture high definition images for further analysis. Detecting traffic signs, moving vehicles, and lanes is important for localization and decision making. Traffic signs, especially those that are far from the camera, are small, and so are challenging to traditional

    更新日期:2019-09-04
  • Unsupervised natural image patch learning
    Comp. Visual Media Pub Date : 2019-08-22
    Dov Danon; Hadar Averbuch-Elor; Ohad Fried; Daniel Cohen-Or

    A metric for natural image patches is an important tool for analyzing images. An efficient means of learning one is to train a deep network to map an image patch to a vector space, in which the Euclidean distance reflects patch similarity. Previous attempts learned such an embedding in a supervised manner, requiring the availability of many annotated images. In this paper, we present an unsupervised

    更新日期:2019-08-22
  • Practical BRDF reconstruction using reliable geometric regions from multi-view stereo
    Comp. Visual Media Pub Date : 2019-08-22
    Taishi Ono; Hiroyuki Kubo; Kenichiro Tanaka; Takuya Funatomi; Yasuhiro Mukaigawa

    In this paper, we present a practical method for reconstructing the bidirectional reflectance distribution function (BRDF) from multiple images of a real object composed of a homogeneous material. The key idea is that the BRDF can be sampled after geometry estimation using multi-view stereo (MVS) techniques. Our contribution is selection of reliable samples of lighting, surface normal, and viewing

    更新日期:2019-08-22
  • Automatic route planning for GPS art generation
    Comp. Visual Media Pub Date : 2019-08-22
    Andre Waschk; Jens Krüger

    In this paper, we present a novel approach to automated route generation of global positioning system (GPS) artwork. The term GPS artwork describes the generation of drawings by leaving virtual traces on digital maps. Until now, the creation of these images has required a manual planning phase in which an artist designs the route by hand. Once the route for this artwork has been planned, GPS devices

    更新日期:2019-08-22
  • Object removal from complex videos using a few annotations
    Comp. Visual Media Pub Date : 2019-08-22
    Thuc Trinh Le; Andrés Almansa; Yann Gousseau; Simon Masnou

    We present a system for the removal of objects from videos. As input, the system only needs a user to draw a few strokes on the first frame, roughly delimiting the objects to be removed. To the best of our knowledge, this is the first system allowing the semi-automatic removal of objects from videos with complex backgrounds. The key steps of our system are the following: after initialization, segmentation

    更新日期:2019-08-22
  • Single image shadow removal by optimization using non-shadow anchor values
    Comp. Visual Media Pub Date : 2019-08-22
    Saritha Murali; V. K. Govindan; Saidalavi Kalady

    Shadow removal has evolved as a pre-processing step for various computer vision tasks. Several studies have been carried out over the past two decades to eliminate shadows from videos and images. Accurate shadow detection is an open problem because it is often considered difficult to interpret whether the darkness of a surface is contributed by a shadow incident on it or not. This paper introduces

    更新日期:2019-08-22
  • Evaluation of modified adaptive k -means segmentation algorithm
    Comp. Visual Media Pub Date : 2019-07-24
    Taye Girma Debelee; Friedhelm Schwenker; Samuel Rahimeto; Dereje Yohannes

    Segmentation is the act of partitioning an image into different regions by creating boundaries between regions. k-means image segmentation is the simplest prevalent approach. However, the segmentation quality is contingent on the initial parameters (the cluster centers and their number). In this paper, a convolution-based modified adaptive k-means (MAKM) approach is proposed and evaluated using images

    更新日期:2019-07-24
  • Salient object detection: A survey
    Comp. Visual Media Pub Date : 2019-06-21
    Ali Borji; Ming-Ming Cheng; Qibin Hou; Huaizu Jiang; Jia Li

    Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. While many models have been proposed and several applications have emerged, a deep understanding of achievements and issues remains lacking. We aim to provide a comprehensive review of recent progress in salient object detection and situate this

    更新日期:2019-06-21
  • Fast raycasting using a compound deep image for virtual point light range determination
    Comp. Visual Media Pub Date : 2019-05-24
    Jesse Archer; Geoff Leach; Pyarelal Knowles

    The concept of using multiple deep images, under a variety of different names, has been explored as a possible acceleration approach for finding ray-geometry intersections. We leverage recent advances in deep image processing from order independent transparency for fast building of a compound deep image (CDI) using a coherent memory format well suited for raycasting. We explore the use of a CDI and

    更新日期:2019-05-24
  • Manufacturable pattern collage along a boundary
    Comp. Visual Media Pub Date : 2019-05-21
    Minghai Chen; Fan Xu; Lin Lu

    Recent years have shown rapid development of digital fabrication techniques, making manufacturing individual models reachable for ordinary users. Thus, tools for designing customized objects in a user-friendly way are in high demand. In this paper, we tackle the problem of generating a collage of patterns along a given boundary, aimed at digital fabrication. We represent the packing space by a pipe-like

    更新日期:2019-05-21
  • Deep residual learning for denoising Monte Carlo renderings
    Comp. Visual Media Pub Date : 2019-05-09
    Kin-Ming Wong; Tien-Tsin Wong

    Learning-based techniques have recently been shown to be effective for denoising Monte Carlo rendering methods. However, there remains a quality gap to state-of-the-art handcrafted denoisers. In this paper, we propose a deep residual learning based method that outperforms both state-of-the-art handcrafted denoisers and learning-based denoisers. Unlike the indirect nature of existing learning-based

    更新日期:2019-05-09
  • Seamless and non-repetitive 4D texture variation synthesis and real-time rendering for measured optical material behavior
    Comp. Visual Media Pub Date : 2019-05-09
    Martin Ritz; Simon Breitfelder; Pedro Santos; Arjan Kuijper; Dieter W. Fellner

    We show how to overcome the single weakness of an existing fully automatic system for acquisition of spatially varying optical material behavior of real object surfaces. While the expression of spatially varying material behavior with spherical dependence on incoming light as a 4D texture (an ABTF material model) allows flexible mapping onto arbitrary 3D geometry, with photo-realistic rendering and

    更新日期:2019-05-09
  • Automated brain tumor segmentation on multi-modal MR image using SegNet
    Comp. Visual Media Pub Date : 2019-04-23
    Salma Alqazzaz; Xianfang Sun; Xin Yang; Len Nokes

    The potential of improving disease detection and treatment planning comes with accurate and fully automatic algorithms for brain tumor segmentation. Glioma, a type of brain tumor, can appear at different locations with different shapes and sizes. Manual segmentation of brain tumor regions is not only time-consuming but also prone to human error, and its performance depends on pathologists’ experience

    更新日期:2019-04-23
  • Optimal and interactive keyframe selection for motion capture
    Comp. Visual Media Pub Date : 2019-04-13
    Richard Roberts; J. P. Lewis; Ken Anjyo; Jaewoo Seo; Yeongho Seol

    Motion capture is increasingly used in games and movies, but often requires editing before it can be used, for many reasons. The motion may need to be adjusted to correctly interact with virtual objects or to fix problems that result from mapping the motion to a character of a different size or, beyond such technical requirements, directors can request stylistic changes. Unfortunately, editing is laborious

    更新日期:2019-04-13
  • A method for estimating the errors in many-light rendering with supersampling
    Comp. Visual Media Pub Date : 2019-04-11
    Hirokazu Sakai; Kosuke Nabata; Shinya Yasuaki; Kei Iwasaki

    In many-light rendering, a variety of visual and illumination effects, including anti-aliasing, depth of field, volumetric scattering, and subsurface scattering, are combined to create a number of virtual point lights (VPLs). This is done in order to simplify computation of the resulting illumination. Naive approaches that sum the direct illumination from many VPLs are computationally expensive; scalable

    更新日期:2019-04-11
  • BING: Binarized normed gradients for objectness estimation at 300fps
    Comp. Visual Media Pub Date : 2019-04-08
    Ming-Ming Cheng; Yun Liu; Wen-Yan Lin; Ziming Zhang; Paul L. Rosin; Philip H. S. Torr

    Training a generic objectness measure to produce object proposals has recently become of significant interest. We observe that generic objects with well-defined closed boundaries can be detected by looking at the norm of gradients, with a suitable resizing of their corresponding image windows to a small fixed size. Based on this observation and computational reasons, we propose to resize the window

    更新日期:2019-04-08
  • Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering
    Comp. Visual Media Pub Date : 2019-04-08
    Chanya Lueangwattana; Shohei Mori; Hideo Saito

    Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences (thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, we describe a fence removal method for an image sequence captured by a user making a sweep motion, in which occluded background is potentially observed. To make use of geometric and appearance

    更新日期:2019-04-08
  • ShadowGAN: Shadow synthesis for virtual objects with conditional adversarial networks
    Comp. Visual Media Pub Date : 2019-04-08
    Shuyang Zhang; Runze Liang; Miao Wang

    We introduce ShadowGAN, a generative adversarial network (GAN) for synthesizing shadows for virtual objects inserted in images. Given a target image containing several existing objects with shadows, and an input source object with a specified insertion position, the network generates a realistic shadow for the source object. The shadow is synthesized by a generator; using the proposed local adversarial

    更新日期:2019-04-08
  • Image-based appearance acquisition of effect coatings
    Comp. Visual Media Pub Date : 2019-04-08
    Jiří Filip; Radomír Vávra

    Paint manufacturers strive to introduce unique visual effects to coatings in order to visually communicate functional properties of products using value-added, customized design. However, these effects often feature complex, angularly dependent, spatially-varying behavior, thus representing a challenge in digital reproduction. In this paper we analyze several approaches to capturing spatially-varying

    更新日期:2019-04-08
  • Recurrent 3D attentional networks for end-to-end active object recognition
    Comp. Visual Media Pub Date : 2019-04-08
    Min Liu; Yifei Shi; Lintao Zheng; Kai Xu; Hui Huang; Dinesh Manocha

    Active vision is inherently attention-driven: an agent actively selects views to attend in order to rapidly perform a vision task while improving its internal representation of the scene being observed. Inspired by the recent success of attention-based models in 2D vision tasks based on single RGB images, we address multi-view depth-based active object recognition using an attention mechanism, by use

    更新日期:2019-04-08
  • Real-time stereo matching on CUDA using Fourier descriptors and dynamic programming
    Comp. Visual Media Pub Date : 2019-04-08
    Mohamed Hallek; Fethi Smach; Mohamed Atri

    Computation of stereoscopic depth and disparity map extraction are dynamic research topics. A large variety of algorithms has been developed, among which we cite feature matching, moment extraction, and image representation using descriptors to determine a disparity map. This paper proposes a new method for stereo matching based on Fourier descriptors. The robustness of these descriptors under photometric

    更新日期:2019-04-08
  • Automated pebble mosaic stylization of images
    Comp. Visual Media Pub Date : 2019-04-08
    Lars Doyle; Forest Anderson; Ehren Choy; David Mould

    Digital mosaics have usually used regular tiles, simulating historical tessellated mosaics. In this paper, we present a method for synthesizing pebble mosaics, a historical mosaic style in which the tiles are rounded pebbles. We address both the tiling problem, of distributing pebbles over the image plane so as to approximate the input image content, and the problem of geometry, creating a smooth rounded

    更新日期:2019-04-08
  • Discernible image mosaic with edge-aware adaptive tiles
    Comp. Visual Media Pub Date : 2019-04-08
    Pengfei Xu; Jianqiang Ding; Hao Zhang; Hui Huang

    We present a novel method to produce discernible image mosaics, with relatively large image tiles replaced by images drawn from a database, to resemble a target image. Compared to existing works on image mosaics, the novelty of our method is two-fold. Firstly, believing that the presence of visual edges in the final image mosaic strongly supports image perception, we develop an edge-aware photo retrieval

    更新日期:2019-04-08
  • No-reference synthetic image quality assessment with convolutional neural network and local image saliency
    Comp. Visual Media Pub Date : 2019-03-30
    Xiaochuan Wang; Xiaohui Liang; Bailin Yang; Frederick W. B. Li

    Depth-image-based rendering (DIBR) is widely used in 3DTV, free-viewpoint video, and interactive 3D graphics applications. Typically, synthetic images generated by DIBR-based systems incorporate various distortions, particularly geometric distortions induced by object dis-occlusion. Ensuring the quality of synthetic images is critical to maintaining adequate system service. However, traditional 2D

    更新日期:2019-03-30
  • Livestock detection in aerial images using a fully convolutional network
    Comp. Visual Media Pub Date : 2019-03-30
    Liang Han; Pin Tao; Ralph R. Martin

    In order to accurately count the number of animals grazing on grassland, we present a livestock detection algorithm using modified versions of U-net and Google Inception-v4 net. This method works well to detect dense and touching instances. We also introduce a dataset for livestock detection in aerial images, consisting of 89 aerial images collected by quadcopter. Each image has resolution of about

    更新日期:2019-03-30
  • Deforming generalized cylinders without self-intersection by means of a parametric center curve
    Comp. Visual Media Pub Date : 2018-12-23
    Ruibin Ma; Qingyu Zhao; Rui Wang; James Damon; Julian Rosenman; Stephen Pizer

    Large-scale deformations of a tubular object, or generalized cylinder, are often defined by a target shape for its center curve, typically using a parametric target curve. This task is non-trivial for free-form deformations or direct manipulation methods because it is hard to manually control the centerline by adjusting control points. Most skeleton-based methods are no better, again due to the small

    更新日期:2018-12-23
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