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Temporal 3D Shape Matching

Huang, P, Starck, A and Hilton, A (2007) Temporal 3D Shape Matching In: 4th European Conference on Visual Media Production, 2007. IETCVMP., 2007-11-27 - 2007-11-28, London, UK.

huang07cvmp.pdf - Accepted version Manuscript
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This paper introduces a novel 4D shape descriptor to match temporal surface sequences. A quantitative evaluation based on the receiver-operator characteristic (ROC) curve is presented to compare the performance of conventional 3D shape descriptors with and without using a time filter. Feature- based 3D shape descriptors including shape distribution (Osada et al., 2002 ), spin image (Johnson et al., 1999), shape histogram (Ankest et al., 1999) and spherical harmonics (Kazhdan et al., 2003) are considered. Evaluation shows that filtered descriptors outperform unfiltered descriptors and the best performing volume-sampling shape-histogram descriptor is extended to define a new 4D "shape-flow" descriptor. Shape-flow matching demonstrates improved performance in the context of matching time-varying sequences which is motivated by the requirement to connect similar sequences for animation production. Both simulated and real 3D human surface motion sequences are used for evaluation.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Huang, P
Starck, A
Hilton, A
Date : 2007
Contributors :
Additional Information : This paper is a postprint of a paper submitted to and accepted for publication in IET European Conference on Visual Media Production and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
Depositing User : Symplectic Elements
Date Deposited : 03 May 2012 12:51
Last Modified : 31 Oct 2017 14:19

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