Shape Google: A computer vision approach to isometry invariant shape retrieval

Maks Ovsjanikov; Alexander M. Bronstein; Michael M. Bronstein; Leonidas J. Guibas

doi:10.1109/ICCVW.2009.5457682

Shape Google: A computer vision approach to isometry invariant shape retrieval

Maks Ovsjanikov
, Alexander M. Bronstein
, Michael M. Bronstein
, Leonidas J. Guibas

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

Abstract

Feature-based methods have recently gained popularity in computer vision and pattern recognition communities, in applications such as object recognition and image retrieval. In this paper, we explore analogous approaches in the 3D world applied to the problem of non-rigid shape search and retrieval in large databases.

Original language	English
Title of host publication	2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
Publisher	IEEE Computer Society
Pages	320-327
Number of pages	8
ISBN (Print)	9781424444427
DOIs	https://doi.org/10.1109/ICCVW.2009.5457682
Publication status	Published - 1 Jan 2009
Externally published	Yes
Event	12th IEEE International Conference on Computer Vision Workshops, ICCVW 2009 - Kyoto, Japan Duration: 27 Sept 2009 → 4 Oct 2009

Publication series

Name	2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

Conference

Conference	12th IEEE International Conference on Computer Vision Workshops, ICCVW 2009
Country/Territory	Japan
City	Kyoto
Period	27/09/09 → 4/10/09

Access to Document

10.1109/ICCVW.2009.5457682

Cite this

Ovsjanikov, M., Bronstein, A. M., Bronstein, M. M., & Guibas, L. J. (2009). Shape Google: A computer vision approach to isometry invariant shape retrieval. In 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009 (pp. 320-327). Article 5457682 (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2009.5457682

Ovsjanikov, Maks ; Bronstein, Alexander M. ; Bronstein, Michael M. et al. / Shape Google : A computer vision approach to isometry invariant shape retrieval. 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. IEEE Computer Society, 2009. pp. 320-327 (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009).

@inproceedings{8b053ae3189d471b9de0fde42867ef0e,

title = "Shape Google: A computer vision approach to isometry invariant shape retrieval",

abstract = "Feature-based methods have recently gained popularity in computer vision and pattern recognition communities, in applications such as object recognition and image retrieval. In this paper, we explore analogous approaches in the 3D world applied to the problem of non-rigid shape search and retrieval in large databases.",

author = "Maks Ovsjanikov and Bronstein, \{Alexander M.\} and Bronstein, \{Michael M.\} and Guibas, \{Leonidas J.\}",

year = "2009",

month = jan,

day = "1",

doi = "10.1109/ICCVW.2009.5457682",

language = "English",

isbn = "9781424444427",

series = "2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009",

publisher = "IEEE Computer Society",

pages = "320--327",

booktitle = "2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009",

note = "12th IEEE International Conference on Computer Vision Workshops, ICCVW 2009 ; Conference date: 27-09-2009 Through 04-10-2009",

}

Ovsjanikov, M, Bronstein, AM, Bronstein, MM & Guibas, LJ 2009, Shape Google: A computer vision approach to isometry invariant shape retrieval. in 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009., 5457682, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009, IEEE Computer Society, pp. 320-327, 12th IEEE International Conference on Computer Vision Workshops, ICCVW 2009, Kyoto, Japan, 27/09/09. https://doi.org/10.1109/ICCVW.2009.5457682

Shape Google: A computer vision approach to isometry invariant shape retrieval. / Ovsjanikov, Maks; Bronstein, Alexander M.; Bronstein, Michael M. et al.
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. IEEE Computer Society, 2009. p. 320-327 5457682 (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009).

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

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AU - Guibas, Leonidas J.

PY - 2009/1/1

Y1 - 2009/1/1

N2 - Feature-based methods have recently gained popularity in computer vision and pattern recognition communities, in applications such as object recognition and image retrieval. In this paper, we explore analogous approaches in the 3D world applied to the problem of non-rigid shape search and retrieval in large databases.

AB - Feature-based methods have recently gained popularity in computer vision and pattern recognition communities, in applications such as object recognition and image retrieval. In this paper, we explore analogous approaches in the 3D world applied to the problem of non-rigid shape search and retrieval in large databases.

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DO - 10.1109/ICCVW.2009.5457682

M3 - Conference contribution

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T3 - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

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BT - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

PB - IEEE Computer Society

Y2 - 27 September 2009 through 4 October 2009

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Ovsjanikov M, Bronstein AM, Bronstein MM, Guibas LJ. Shape Google: A computer vision approach to isometry invariant shape retrieval. In 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. IEEE Computer Society. 2009. p. 320-327. 5457682. (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009). doi: 10.1109/ICCVW.2009.5457682

Shape Google: A computer vision approach to isometry invariant shape retrieval

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