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Titlebook: Advances in Visual Computing; Second International George Bebis,Richard Boyle,Tom Malzbender Conference proceedings 2006 Springer-Verlag Be

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51#
發(fā)表于 2025-3-30 11:21:21 | 只看該作者
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發(fā)表于 2025-3-30 14:33:45 | 只看該作者
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發(fā)表于 2025-3-30 16:39:46 | 只看該作者
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發(fā)表于 2025-3-30 22:14:29 | 只看該作者
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發(fā)表于 2025-3-31 00:59:01 | 只看該作者
Global Hand Pose Estimation by Multiple Camera Ellipse Tracking, These issues raise many challenges for computer vision-based motion estimation algorithms. In this study, we consider the problem of hand tracking using multiple cameras and estimating its 3D global pose (i.e., position and orientation of the palm). Our interest is in developing an accurate and rob
56#
發(fā)表于 2025-3-31 05:58:00 | 只看該作者
Vision-Based Self-localization of Autonomous Guided Vehicle Using Landmarks of Colored Pentagons,to locate the relative position of the mobile robot with respect to the pattern. This method has the advantages of simplicity and flexibility. This pentagon is also provided with a unique identification, using invariant features and colors that enable the system to find the absolute location of the
57#
發(fā)表于 2025-3-31 09:53:51 | 只看該作者
58#
發(fā)表于 2025-3-31 15:12:00 | 只看該作者
Efficient Motion Search in Large Motion Capture Databases,ilar motions is still a difficult and time-consuming problem. This paper provides methods for identifying visually and numerically similar motions in a large database given a query of motion segment. We propose an efficient indexing strategy that represents the motions compactly through a preprocess
59#
發(fā)表于 2025-3-31 17:34:42 | 只看該作者
Real-Time Rendering of Light Shafts on GPU,y-accurate computation of atmosphere scattering. Another is due to the limitation of computer resource, especially lack of power and programmability in the graphic hardware. Recently, with the advent of more powerful graphic card in standard PC platform and the development of programmable stages in
60#
發(fā)表于 2025-3-31 22:21:31 | 只看該作者
Learning the Stylistic Similarity Between Human Motions,of captured, stylistically similar motion pairs. In this model, a set of hypersurfaces learned by single-class SVM and kernel PCA characterize the region occupied by stylistically similar motion pairs in the space of all possible pairs. The proposed model is further applied to a system for adapting
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