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Global temporal registration of multiple non-rigid surface sequences

Huang, P, Budd, C and Hilton, A (2011) Global temporal registration of multiple non-rigid surface sequences In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, 2011-06-20 - 2011-06-25, Providence, RI.

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Abstract

In this paper we consider the problem of aligning multiple non-rigid surface mesh sequences into a single temporally consistent representation of the shape and motion. A global alignment graph structure is introduced which uses shape similarity to identify frames for inter-sequence registration. Graph optimisation is performed to minimise the total non-rigid deformation required to register the input sequences into a common structure. The resulting global alignment ensures that all input sequences are resampled with a common mesh structure which preserves the shape and temporal correspondence. Results demonstrate temporally consistent representation of several public databases of mesh sequences for multiple people performing a variety of motions with loose clothing and hair.

Item Type: Conference or Workshop Item (UNSPECIFIED)
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Copyright 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Depositing User: Symplectic Elements
Date Deposited: 14 Dec 2011 11:36
Last Modified: 23 Sep 2013 18:54
URI: http://epubs.surrey.ac.uk/id/eprint/29209

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