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Reconstruction of Animated Models from Images Using Constrained Deformable Surfaces

  • J. Starck
  • A. Hilton
  • J. Illingworth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2301)

Abstract

In this paper we present a technique to generate animated 3D models from a limited set of images. We adopt a model-based approach to shape recovery to obtain a specific model parameterisation for animation. A generic animatable 3D mesh model is first manually posed to match the pose in the images. Shape information from multiple 2D image silhouettes is integrated by reconstructing the occupied volume of an object. The mesh is then deformed to match the reconstructed volume using a robust coarse to fine matching technique. We formulate an irregularly parameterised generic mesh as a shape constrained deformable surface to preserve the prior shape information and specific parameterisation in the model. Our interest lies in the generation of animated human models in a multi-camera studio. We assess the technique using artificial test cases and present results for a dancer in a studio.

Keywords

Deformable Model Visual Hull Medical Image Analysis Deformable Surface Image Silhouette 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • J. Starck
    • 1
  • A. Hilton
    • 1
  • J. Illingworth
    • 1
  1. 1.Centre for Vision, Speech and Signal ProcessingUniversity of SurreyGuildfordUK

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