Shape and pose parameter estimation of 3D multi-part objects

Satoshi Yonemoto; Naoyuki Tsuruta; Rin Ichiro Taniguchi

Shape and pose parameter estimation of 3D multi-part objects

Satoshi Yonemoto, Naoyuki Tsuruta, Rin Ichiro Taniguchi

Real world robotics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper presents an analysis-by-image-synthesis framework of shape and pose estimation of 3D multi-part objects, whose purpose is to map objects in the real world into virtual environments. In general, complex 3D multi-part objects cause serious self-occlusion and non-rigid motion. To deal with the occlusion among them, we employ both multiple calibrated cameras and time-varying sequences, since there is enough information to estimate the parameters in the sensory data. In our framework, to minimize the error between the selected measurements and the estimated model parameters, we proceed model fitting process based on proper gradient-based minimization.

Original language	English
Title of host publication	Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings
Editors	Roland Chin, Ting-Chuen Pong
Publisher	Springer Verlag
Pages	479-486
Number of pages	8
ISBN (Print)	3540639314, 9783540639312
Publication status	Published - Jan 1 1997
Event	3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, Hong Kong Duration: Jan 8 1998 → Jan 10 1998

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1352
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd Asian Conference on Computer Vision, ACCV 1998
Country	Hong Kong
City	Hong Kong
Period	1/8/98 → 1/10/98

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

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Cite this

Yonemoto, S., Tsuruta, N., & Taniguchi, R. I. (1997). Shape and pose parameter estimation of 3D multi-part objects. In R. Chin, & T-C. Pong (Eds.), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings (pp. 479-486). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1352). Springer Verlag.

Shape and pose parameter estimation of 3D multi-part objects. / Yonemoto, Satoshi; Tsuruta, Naoyuki; Taniguchi, Rin Ichiro.

Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. ed. / Roland Chin; Ting-Chuen Pong. Springer Verlag, 1997. p. 479-486 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1352).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yonemoto, S, Tsuruta, N & Taniguchi, RI 1997, Shape and pose parameter estimation of 3D multi-part objects. in R Chin & T-C Pong (eds), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1352, Springer Verlag, pp. 479-486, 3rd Asian Conference on Computer Vision, ACCV 1998, Hong Kong, Hong Kong, 1/8/98.

Yonemoto S, Tsuruta N, Taniguchi RI. Shape and pose parameter estimation of 3D multi-part objects. In Chin R, Pong T-C, editors, Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. Springer Verlag. 1997. p. 479-486. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Yonemoto, Satoshi ; Tsuruta, Naoyuki ; Taniguchi, Rin Ichiro. / Shape and pose parameter estimation of 3D multi-part objects. Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. editor / Roland Chin ; Ting-Chuen Pong. Springer Verlag, 1997. pp. 479-486 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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