Articulated motion and deformable objects - Info and Reading Options
By Hans-Hellmut Nagel

“Articulated motion and deformable objects” Metadata:
- Title: ➤ Articulated motion and deformable objects
- Author: Hans-Hellmut Nagel
“Articulated motion and deformable objects” Subjects and Themes:
- Subjects: ➤ Congresses - Computer animation - Computer graphics - Bildfolgenverarbeitung - Computeranimation - Congres - Deformation - Processamento grafico (graphics) - Dreidimensionale Rekonstruktion - Vervorming - Beweging (activiteit) - Kongress - Animation par ordinateur - Infographie - Computergraphics - Bilderzeugung - Bewegungsanalyse - Objekterkennung
Edition Identifiers:
- The Open Library ID: OL16989780W
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"Articulated motion and deformable objects" Description:
The Open Library:
Articulated Motion and Deformable Objects: First International Workshop, AMDO 2000, Palma de Mallorca, Spain, September 7-9, 2000. Proceedings<br />Author: Hans-Hellmut Nagel, Francisco J. Perales López<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-67912-7<br /> DOI: 10.1007/10722604<br /><br />Table of Contents:<p></p><ul><li>Robust Manipulation of Deformable Objects Using Model Based Technique </li><li>Shape Recognition Algorithm Robust under Partial Occlusions and Affine Deformations </li><li>Adaptation of ASM to Lips Edge Detection </li><li>Elastic Deformations Using Finite Element Methods in Computer Graphic Applications </li><li>Analysis of Human Motion Using Snakes and Neural Networks </li><li>Stability and Complexity Study of Animated Elastically Deformable Objects </li><li>Multi-part Non-rigid Object Tracking Based on Time Model-Space Gradients </li><li>Spatio-Temporal Modeling in the Farmyard Domain </li><li>Recognition of Articulated Objects in SAR Images </li><li>A Robust Method for Motion Estimation in Image Sequences </li><li>Spectral Correspondence for Deformed Point-Set Matching </li><li>Visualization of Local Movements for Optimal Marker Positioning </li><li>Matching a Human Walking Sequence with a VRML Synthetic Model </li><li>Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera </li><li>Automatic Selection of Keyframes for Activity Recognition</li></ul>
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