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Titlebook: Dynamical Vision; ICCV 2005 and ECCV 2 René Vidal,Anders Heyden,Yi Ma Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2007 3D

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书目名称Dynamical Vision
副标题ICCV 2005 and ECCV 2
编辑René Vidal,Anders Heyden,Yi Ma
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Dynamical Vision; ICCV 2005 and ECCV 2 René Vidal,Anders Heyden,Yi Ma Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2007 3D
描述Classical multiple-view geometry studies the reconstruction of a static scene - served by a rigidly moving camera. However, in many real-world applications the scene may undergo much more complex dynamical changes. For instance, the scene may consist of multiple moving objects (e.g., a tra?c scene) or arti- lated motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, ?re, or a waterfall). In addition, some applications may require interaction with the scene through a dynamical system (e.g., vision-guided robot navigation and coordination). To study the problem of reconstructing dynamical scenes, many new al- braic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based c- trol. The goal of the International Workshop on Dynamical Vision (WDV) is to converge di?erent aspects of the research on dynamical vision and to identify common mathematical problems, models, and methods for future research in this emerging and active area.
出版日期Conference proceedings 2007
关键词3D; Augmented Reality; HCI; Textur; articulated motions; cognition; dynamical models; dynamical scene analy
版次1
doihttps://doi.org/10.1007/978-3-540-70932-9
isbn_softcover978-3-540-70931-2
isbn_ebook978-3-540-70932-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
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书目名称Dynamical Vision影响因子(影响力)




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Motion Segmentation Using an Occlusion Detectoregarding the video sequence as a 3D spatio-temporal function, we consider the second moment matrix of its gradients (averaged over a local window), and show that the eigenvalues of this matrix can be used to detect occlusions and motion discontinuities. Since these cannot always be determined locall
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Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective set of feature points tracked across a number of frames and address the problem of 3D motion segmentation of the objects in presence of measurement noise and outliers. We extend the robust structure from motion (SfM) method [5] to 3D motion segmentation and apply it to realistic, contaminated track
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Articulated-Body Tracking Through Anisotropic Edge Detectionation of the extremal contours and on the prediction of the human boundary edges in the image. We combine extremal contour prediction and edge detection in a non linear minimization process. The error function that measures the discrepancy between observed image edges and predicted model contours is
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Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysisthe image space. Although the intrinsic body configuration manifolds might be very low in dimensionality, the resulting appearance manifold is challenging to model given various aspects that affects the appearance such as the view point, the person shape and appearance, etc. In this paper we learn d
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Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets with a set of second order Ising descriptors whose temporal evolution of is governed by an AutoRegressive eXogenous (ARX) model. Given this model, we cast the dynamic texture segmentation problem in a variational framework in which we minimize the spatial-temporal variance of the stochastic part of
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