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Extraction of human body skeleton based on silhouette images

Extraction of human body skeleton based on silhouette images

引用

2nd International Workshop on Education Technology and computer science, ETCS 2010

作者： Ding, Jianhao Wang, Yigang Yu, Lingyun State Key Laboratory of CAD and CG Zhejiang University Hangzhou China Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Hangzhou China Department of Mathematics and Computing Science University of Groningen Netherlands

ISBN: (纸本)9780769539874

Skeleton extraction is essential for general shape representation. A typical skeletonization algorithm should obtain the ability to preserve original object's topological and hierarchical properties. However, most of current methods are high memory cost, computationally intensive, and also require complex data structures. In this paper, we propose an efficient and accurate skeletonization method for the skeleton feature points extracted from human body based on silhouette images. First, the gradient of distance transform is used to detect critical points inside the foreground. Then, we converge and simplify critical points in order to generate the most important and elegant skeleton feature points. Finally, we present an algorithm which connects the skeleton feature points and estimates the position of skeleton joints. © 2010 IEEE.

关键词： Extraction

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Patch-based reconstruction and rendering of human heads

Patch-based reconstruction and rendering of human heads

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IEEE International Conference on Image Processing

作者： David C. Schneider Anna Hilsmann Peter Eisert Computer Vision and Graphics Group Fraunhofer Heinrich Hertz Institute (HHI) Berlin Germany Department of Computer Science Humboldt-Universität zu Berlin Berlin Germany

Reconstructing the 3D shape of human faces is an intensively researched topic. Most approaches aim at generating a closed surface representation of geometry, i.e. a mesh, which is texture-mapped for rendering. However, if free viewpoint rendering is the primary purpose of the reconstruction, representations other than meshes are possible. In this paper a coarse patch-based approach to both reconstruction and rendering is explored and applied not only to the face but the whole human head. The approach has advantages on parts of the scene that are traditionally difficult to reconstruct and render, which is the case for hair when it comes to human heads. In the paper, reconstruction of a patch is posed as a parameter estimation problem which is solved in a generic image-based optimization framework using the Levenberg-Marquard algorithm. In order to improve robustness, the Huber error metric is used and a geometric regularization strategy is introduced. Initial values for the optimization, which are crucial for the method's success, are obtained by triangulation of SIFT feature points and a recursive expansion scheme.

关键词： Image reconstruction Optimization Rendering (computer graphics) Three dimensional displays Cameras Head Pixel

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Providing SMS Notification with Less Interruption

Providing SMS Notification with Less Interruption

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International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC

作者： Tiantian Gao Zhiqiang Yang Heng Wang Graphics Interaction Laboratory Key Laboratory of Machine Perception and Intelligence (MOE)Department of Computer Science Peking University Beijing China

SMS communication is gaining increasing popularity in people's daily life. Along with the growing number of times people sending and receiving SMSs every day, there are also increasing unwanted interruption to people when they are busy with their work or feel less receptive to unimportant messages. Unfortunately, current SMS systems are unable to present notifications according to user's states and willingness of being interrupted. In this work, we develop a SMS system that intelligently determines a good way to present notifications to the user at a suitable time. A decision module is made to analyze the message content, the relation between the sender and the user, and the user state when a new message comes. The results of the decision module are used to implement a nicer notification and to reduce interruptions to a user's ongoing tasks.

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Health shelf: Interactive nutritional labels

Health shelf: Interactive nutritional labels

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28th Annual CHI Conference on Human Factors in Computing Systems, CHI 2010

作者： Bedi, Sapna Diaz Ruvalcaba, Javier Foley-Fisher, Zoltan Kamal, Noreen Tsao, Vincent University of British Columbia Department of Computer Science 2366 Main Mall Vancouver BC V6T 1Z4 Canada University of Victoria Department of Computer Science STN CSC PO Box 3055 Victoria BC V8W 3P6 Canada University of British Columbia Media and Graphics Interdisciplinary Centre Forest Sciences Centre Building Vancouver BC V6T 1Z4 Canada

ISBN: (纸本)9781605589312

"Healthy Shelf" is an interactive nutritional label system. User-centered design process was used to create the labels with HTML and JavaScript for deployment on kiosks attached to supermarket shelves. Users change the serving size on the nutritional labels and the labels then calculate nutritional values. The interactive labels also display comparisons of nutritional values. We evaluated a prototype of the system and found that participants liked the idea of using interactive nutritional labels while shopping and they make more accurate serving size. © 2010 Copyright is held by the author/owner(s).

关键词： Nutrition

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Fast Texture Segmentation Based on Semi-local Region Descriptor and Active Contour Driven by the Bhattacharyya Distance

Fast Texture Segmentation Based on Semi-local Region Descrip...

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International Conference on Multimedia Information Networking and Security (MINES)

作者： Shanqing Zhang Weibin Xin Guixu Zhang Institute of Graphics and Image Hangzhou Dianzi University Hangzhou China Department of Computer Science and Technology East China Jiao Tong University Shanghai China

Based on a texture descriptor which intrinsically defines the geometry of textures using semi-local image information and tools from differential geometry, a fast active contour segmentation model for color texture image is proposed. In this model, we use the popular Bhattacharyya distance between the probability density function (pdf) to design the data fitting term which distinguishes the background and textures of interest. Then, a fast algorithm based on the Split-Bregman method is introduced to extract meaningful objects. Finally, some examples on some challenging images are illustrated to verify the possibility of the proposed model.

关键词： Image segmentation Active contours Numerical models Probability density function Image color analysis Minimization Tensile stress

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Fitting 3D garment models onto individual human models

Fitting 3D garment models onto individual human models

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作者： Li, Jituo Ye, Juntao Wang, Yangsheng Bai, Li Lu, Guodong Digital Interactive Media Lab Institute of Automation Chinese Academy of Sciences No. 95 Zhongguancuan East Road Beijing 100190 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai 201620 China Institute of Engineering and Computer Graphics Mechanical Department of Zhejiang University Zhejiang University Yuquan Campus No. 38 Zheda Road Hangzhou 310027 China School of Computer Science University of Nottingham Nottingham United Kingdom

Designing an elegant 3D virtual garment model for a 3D virtual human model is labor-intensive, because most existing garment models are custom-made for a specific human model and cannot be easily reused for other individuals. In this paper, we propose a novel method for fitting a given 3D garment model onto human models of various body shapes and poses. The fitting is accomplished by deforming the garment mesh to match the shapes of the human models by using a combination of the following: skeleton-driven volumetric deformation, garmenthuman shape similarity matching and evaluation, the constraints of garmenthuman contact, and garmenthuman ease allowance. Experiments show that our approach performs very well and has the potential to be used in the garment design industry. © 2010 Elsevier Ltd.

关键词： Musculoskeletal system

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On 2-Site Voronoi Diagrams under Arithmetic Combinations of Point-to-Point Distances

On 2-Site Voronoi Diagrams under Arithmetic Combinations of ...

引用

International Symposium on Voronoi Diagrams in science and Engineering (ISVD)

作者： Kira Vyatkina Gill Barequet Department of Mathematics and Mechanics Saint Petersburg State University Saint Petersburg Russia Center of Graphics and Geometric Computing Department of Computer Science Technion-Israel Institute of Technology Haifa Israel

ISBN: (纸本)9781424476060;9780769541129

We consider a generalization of Voronoi diagrams, recently introduced by Barequet et al., in which the distance is measured from a pair of sites to a point. An easy way to define such distance was proposed together with the concept: it can be the sum-of, the product-of, or (the absolute value of) the difference-between Euclidean distances from either site to the respective point. We explore further the last definition, and analyze the complexity of the nearest- and the furthest-neighbor 2-site Voronoi diagrams for points in the plane with Manhattan or Chebyshev underlying metrics, providing extensions to general Minkowsky metrics and, for the nearest-neighbor case, to higher dimensions. In addition, we point out that the observation made earlier in the literature that 2-point site Voronoi diagrams under the sum-of and the product-of Euclidean distances are identical and almost identical to the second order Voronoi diagrams, respectively, holds in a much more general statement.

关键词： computer science Digital arithmetic Mathematics computer graphics Mechanical variables measurement Chebyshev approximation Application software History Information resources Books

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Extraction of Human Body Skeleton Based on Silhouette Images

Extraction of Human Body Skeleton Based on Silhouette Images

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International Workshop on Education Technology and computer science, ETCS

作者： Jianhao Ding Yigang Wang Lingyun Yu State Key Laboratory of CAD & CG University of Zhejiang Hangzhou China Institute of Computer graphics and Image Processing Hangzhou Dianzi University Hangzhou China Department of Mathematics and Computing Science University of Groningam Netherlands

ISBN: (纸本)9781424463886;9780769539874

关键词： Humans Skeleton Joints Iterative algorithms Euclidean distance Data mining Motion analysis Image converters Shape Feature extraction

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A new approach for very dark video denoising and enhancement

A new approach for very dark video denoising and enhancement

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IEEE International Conference on Image Processing

作者： Qing Xu Hailin Jiang Riccardo Scopigno Mateu Sbert Department of Electronics Politecnico di Torino Torino Italy School of Computer Science and Technology Tianjin University TJU Tianjin China Istituto Superiore Mario Boella Torino Italy Graphics and Imaging Laboratory Girona Spain

The paper presents a novel three-stage algorithm for very-low-light video denoising and enhancement. The proposed technique invokes twice, in the first and the third stages, the well-known Non-Local Means (NLM) method for spatial and temporal denoising: it is well adapted to the application, leading to the definition of a novel NLM tool. The intermediate stage performs a custom tone adjustment specifically aimed at enlarging the dynamic range of very dark videos. The overall approach transforms very dark videos into more watchable ones, effectively reduces very high noise, and all in all, produces high quality restored image sequences outperforming the recent state-of-the-art results. Additionally, the first and third stages can be combined as a two-step filtering scheme for normal-light videos: the novel denoising solution achieves a heavy noise removal, while reducing motion blur artifacts and preserving image details.

关键词： Noise reduction Pixel Dynamic range Image color analysis Runtime PSNR

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A new refinement criterion for adaptive sampling in path tracing

A new refinement criterion for adaptive sampling in path tra...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Qing Xu Mateu Sbert Miquel Feixas Riccardo Scopigno Department of Electronic Politecnico di Turino Torino Italy School of Computer Science and Technology Tianjin University Tianjin China Graphics and Imaging Laboratory University of Girona Girona Spain Networking laboratory Istituto Superiore Mario Boella Torino Italy

Monte Carlo based methods such as path tracing are the only to do the physically correct simulations of global illumination. Due to its high capability to exploit acceleration structures and SIMD parallelism of modern processors, path tracing is becoming potential in the sense of real time. Basically path tracing generates images with heavy noise. Adaptive sampling is an interesting way to produce less noisy images. In this paper, we make use of both the intra-pixel information and the inter-pixel information to propose a new refinement criterion for adaptive sampling in path tracing to lower the Monte Carlo noise appeared in the generated image. For the intra-pixel information, we take advantage of the non-extensive Tsallis entropy as a homogeneity measurement of sample values within a pixel. For the inter-pixel information, we develop an innovative inter-pixel coherence measure based on the magnitude of spatial gradient and the impulsiveness of the distribution. Implementation results demonstrate that our novel method can perform significantly better than the previously typical ones.

关键词： Pixel Entropy Coherence Noise measurement Noise Monte Carlo methods Lighting

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