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" Deformable Avatars : "
edited by Nadia Magnenat-Thalmann, Daniel Thalmann.
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BL
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| Record Number
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738120
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b557999
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| Main Entry
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edited by Nadia Magnenat-Thalmann, Daniel Thalmann.
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| Title & Author
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Deformable Avatars : : IFIP TC5/WG5.10 DEFORM'2000 Workshop November 29-30, 2000 Geneva, Switzerland and AVATARS'2000 Workshop November 30-December 1, 2000 Lausanne, Switzerland\ edited by Nadia Magnenat-Thalmann, Daniel Thalmann.
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| Publication Statement
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Boston, MA: Springer US, 2001
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| Series Statement
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IFIP - The International Federation for Information Processing, 68.
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(x, 247 pages)
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| ISBN
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0306470020
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: 9780306470028
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| Contents
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1. Animated Heads: From 3D Motion Fields to Action Descriptions --;2. A Muscle-based 3D Parametric Lip Model for Speech-Synchronized Facial Animation --;3. Feature Point Based Mesh Deformation Applied to MPEG-4 Facial Animation --;4. A Feature-based Deformable Model for Photo-Realistic Head Modelling --;5. Multiresolution Modeling and Interactive Deformation of Large 3D Meshes --;6. Locally Interpolating Subdivision Surfaces Supporting Free-Form 2D Deformations --;7. Object-Oriented Reformulation and Extension of Implicit Free-Form Deformations --;8. Soft Tissue Modeling from 3D Scanned Data --;9. Contextually Embodied Agents --;10. On Implicit Modelling for Fitting Purposes --;11. Interactive Modelling of MPEG-4 Deformable Human Body Models --;12. Efficient Muscle Shape Deformation --;13. Towards the Ultimate Motion Capture Technology --;14. Delaunay Triangles Model for Image-Based Motion Retargeting --;15. A Vector-Space Representation of Motion Data for Example-based Motion Synthesis --;16. Parametrization and Range of Motion of the Ball-and-Socket Joint --;17. Towards Behavioral Consistency in Animated Agents --;18. PECS: A Reference Model for Human-Like Agents --;19. Communicative Autonomous Agents --;20. Design Issues for Conversational User Interfaces: Animating and Controlling 3D Faces --;21. Constructing Virtual Human Life Simulations.
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| Abstract
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Deformable avatars are virtual humans that deform themselves during motion. The research requires models for capturing of geometrie and kinematic data, the synthesis of the realistic human shape and motion, the parametrisation and motion retargeting, and several appropriate deformation models.
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| Subject
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Artificial intelligence.
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Computer science.
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Computer vision.
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| LC Classification
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T385.E358 2001
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| Added Entry
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Daniel Thalmann
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Nadia Magnenat-Thalmann
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