Dense correspondence finding for parametrization-free animation reconstruction from video

We present a dense 3D correspondence finding method that enables spatio-temporally coherent reconstruction of surface animations from multi-view video data. Given as input a sequence of shape-from-silhouette volumes of a moving subject that were reconstructed for each time frame individually, our me...

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Bibliographic Details

Published in:	2008 IEEE Conference on Computer Vision and Pattern Recognition pp. 1 - 8
Main Authors:	Ahmed, N., Theobalt, C., Rossl, C., Thrun, S., Seidel, H.-P.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2008
Subjects:	Animation Geometry Image reconstruction Iterative closest point algorithm Layout Optical distortion Optical noise Robustness Shape Surface reconstruction
ISBN:	9781424422425, 1424422426
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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