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Titlebook: Articulated Motion and Deformable Objects; First International Hans-Hellmut Nagel,Francisco J. Perales López Conference proceedings 2000 S

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Parastou Forouhar,Cathrine Bublatzkyh cases, a skeleton model has to be identified to derive the joint motion. The optical technology has gained a large popularity due to the high precision of its marker position measurements. However, when it comes to building the skeleton frames out of the 3D marker positions, significant local skin
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A. E. Slinkhard,G. Bascur,G. Hernández-Bravo direct depth data, prior loose knowledge about the object, such as possible ranges of joint angles, lengths or widths of parts, and some relationships between them, are referred as system constraints. This paper first points out that the estimate by Kalman filter essentially converge to a wrong sta
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0302-9743 Overview: Includes supplementary material: 978-3-540-67912-7978-3-540-44591-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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William Ribarsky,Zachary Wartell,Wenwen Douthe contours are then re-represented as normalised axis crossover vectors. These vectors are then fed into a neural network which determines the typicality of a given human shape, allowing for a given human’s motion deformation to be analysed. Experiments are described which investigate the success of the technique being presented.
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Analysis of Human Motion Using Snakes and Neural Networksthe contours are then re-represented as normalised axis crossover vectors. These vectors are then fed into a neural network which determines the typicality of a given human shape, allowing for a given human’s motion deformation to be analysed. Experiments are described which investigate the success of the technique being presented.
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