By Topic

Multiple view reconstruction of people

Sign In

Full text access may be available.

To access full text, please use your member or institutional sign in.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hilton, A. ; Starck Centre for Vision, Speech & Signal Processing, Surrey Univ., Guildford, UK ; Starck, J.

This work presents a unified framework for model-based and model-free reconstruction of people from multiple camera views in a studio environment. Shape and appearance of the reconstructed model are optimised simultaneously based on multiple view silhouette, stereo and feature correspondence. A priori knowledge of surface structure is introduced as regularisation constraints. Model-based reconstruction assumes a known generic lutmanoid model a priori, which is fitted to the multi-view observations to produce a structured representation for animation. Model-free reconstruction makes no priori assumptions on scene geometry allowing the reconstruction of complex dynamic scenes. Results are presented for reconstruction of sequences of people from multiple views. The model-based approach produces a consistent structured representation, which is robust in the presence of visual ambiguities. This overcomes limitations of existing visual-hull and stereo techniques. Model-free reconstruction allows high-quality novel view-synthesis with accurate reproduction of the detailed dynamics for hair and loose clothing. Multiple view optimisation achieves a visual quality comparable to the captured video without visual artefacts due to misalignment of images.

Published in:

3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on

Date of Conference:

6-9 Sept. 2004