Group-valued regularization for analysis of articulated motion

Guy Rosman; Alex M. Bronstein; Michael M. Bronstein; Xue Cheng Tai; Ron Kimmel

doi:10.1007/978-3-642-33863-2_6

Group-valued regularization for analysis of articulated motion

Guy Rosman^*, Alex M. Bronstein, Michael M. Bronstein, Xue Cheng Tai, Ron Kimmel

^*Corresponding author for this work

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

Abstract

We present a novel method for estimation of articulated motion in depth scans. The method is based on a framework for regularization of vector- and matrix- valued functions on parametric surfaces. We extend augmented-Lagrangian total variation regularization to smooth rigid motion cues on the scanned 3D surface obtained from a range scanner. We demonstrate the resulting smoothed motion maps to be a powerful tool in articulated scene understanding, providing a basis for rigid parts segmentation, with little prior assumptions on the scene, despite the noisy depth measurements that often appear in commodity depth scanners.

Original language	English
Title of host publication	Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
Publisher	Springer Verlag
Pages	52-62
Number of pages	11
Edition	PART 1
ISBN (Print)	9783642338625
DOIs	https://doi.org/10.1007/978-3-642-33863-2_6
State	Published - 2012
Externally published	Yes
Event	Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings - Florence, Italy Duration: 7 Oct 2012 → 13 Oct 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	7583 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
Country/Territory	Italy
City	Florence
Period	7/10/12 → 13/10/12

Keywords

Articulated Motion
Motion Segmentation
Parameteric Surfaces

Access to Document

10.1007/978-3-642-33863-2_6

Cite this

Rosman, G., Bronstein, A. M., Bronstein, M. M., Tai, X. C., & Kimmel, R. (2012). Group-valued regularization for analysis of articulated motion. In Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings (PART 1 ed., pp. 52-62). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7583 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-33863-2_6

Rosman, Guy ; Bronstein, Alex M. ; Bronstein, Michael M. et al. / Group-valued regularization for analysis of articulated motion. Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 1. ed. Springer Verlag, 2012. pp. 52-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Group-valued regularization for analysis of articulated motion",

abstract = "We present a novel method for estimation of articulated motion in depth scans. The method is based on a framework for regularization of vector- and matrix- valued functions on parametric surfaces. We extend augmented-Lagrangian total variation regularization to smooth rigid motion cues on the scanned 3D surface obtained from a range scanner. We demonstrate the resulting smoothed motion maps to be a powerful tool in articulated scene understanding, providing a basis for rigid parts segmentation, with little prior assumptions on the scene, despite the noisy depth measurements that often appear in commodity depth scanners.",

keywords = "Articulated Motion, Motion Segmentation, Parameteric Surfaces",

author = "Guy Rosman and Bronstein, {Alex M.} and Bronstein, {Michael M.} and Tai, {Xue Cheng} and Ron Kimmel",

year = "2012",

doi = "10.1007/978-3-642-33863-2_6",

language = "אנגלית",

isbn = "9783642338625",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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Rosman, G, Bronstein, AM, Bronstein, MM, Tai, XC & Kimmel, R 2012, Group-valued regularization for analysis of articulated motion. in Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7583 LNCS, Springer Verlag, pp. 52-62, Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings, Florence, Italy, 7/10/12. https://doi.org/10.1007/978-3-642-33863-2_6

Group-valued regularization for analysis of articulated motion. / Rosman, Guy; Bronstein, Alex M.; Bronstein, Michael M. et al.

Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 1. ed. Springer Verlag, 2012. p. 52-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7583 LNCS, No. PART 1).

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

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AU - Tai, Xue Cheng

AU - Kimmel, Ron

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AB - We present a novel method for estimation of articulated motion in depth scans. The method is based on a framework for regularization of vector- and matrix- valued functions on parametric surfaces. We extend augmented-Lagrangian total variation regularization to smooth rigid motion cues on the scanned 3D surface obtained from a range scanner. We demonstrate the resulting smoothed motion maps to be a powerful tool in articulated scene understanding, providing a basis for rigid parts segmentation, with little prior assumptions on the scene, despite the noisy depth measurements that often appear in commodity depth scanners.

KW - Articulated Motion

KW - Motion Segmentation

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Rosman G, Bronstein AM, Bronstein MM, Tai XC, Kimmel R. Group-valued regularization for analysis of articulated motion. In Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 1 ed. Springer Verlag. 2012. p. 52-62. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-33863-2_6

Group-valued regularization for analysis of articulated motion

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