SHREC 2011: Robust feature detection and description benchmark

E. Boyer; A. M. Bronstein; M. M. Bronstein; B. Bustos; T. Darom; R. Horaud; I. Hotz; Y. Keller; J. Keustermans; A. Kovnatsky; R. Litman; J. Reininghaus; I. Sipiran; D. Smeets; P. Suetens; D. Vandermeulen; A. Zaharescu; V. Zobel

doi:10.2312/3DOR/3DOR11/071-078

SHREC 2011: Robust feature detection and description benchmark

E. Boyer
, A. M. Bronstein
, M. M. Bronstein
, B. Bustos
, T. Darom
, R. Horaud
, I. Hotz
, Y. Keller
, J. Keustermans
, A. Kovnatsky
, R. Litman
, J. Reininghaus
, I. Sipiran
, D. Smeets
, P. Suetens
, D. Vandermeulen
, A. Zaharescu
, V. Zobel

INRIA Institut National de Recherche en Informatique et en Automatique
Tel Aviv University
Università della Svizzera italiana
Universidad de Chile
Bar-Ilan University
Zuse Institute Berlin
Katholieke Universiteit Leuven
Technion - Israel Institute of Technology
Aimetis Corp.

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

90 Citas (Scopus)

Resumen

Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description benchmark simulates the feature detection and description stages of feature-based shape retrieval algorithms. The benchmark tests the performance of shape feature detectors and descriptors under a wide variety of transformations. The benchmark allows evaluating how algorithms cope with certain classes of transformations and strength of the transformations that can be dealt with. The present paper is a report of the SHREC'11 robust feature detection and description benchmark results.

Idioma original	Inglés
Título de la publicación alojada	Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011
Editores	Tobias Schreck, Alfredo Ferreira, Afzal Godil, Hamid Laga, Remco Veltkamp, Ioannis Pratikakis
Editorial	Eurographics Association
Páginas	71-78
Número de páginas	8
ISBN (versión digital)	9783905674316
DOI	https://doi.org/10.2312/3DOR/3DOR11/071-078
Estado	Publicada - 2011
Publicado de forma externa	Sí
Evento	4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - Llandudno, Reino Unido Duración: 10 abr. 2011 → …

Serie de la publicación

Nombre	Eurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (versión impresa)	1997-0463
ISSN (versión digital)	1997-0471

Conferencia

Conferencia	4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011
País/Territorio	Reino Unido
Ciudad	Llandudno
Período	10/04/11 → …

Acceder al documento

10.2312/3DOR/3DOR11/071-078

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Boyer, E., Bronstein, A. M., Bronstein, M. M., Bustos, B., Darom, T., Horaud, R., Hotz, I., Keller, Y., Keustermans, J., Kovnatsky, A., Litman, R., Reininghaus, J., Sipiran, I., Smeets, D., Suetens, P., Vandermeulen, D., Zaharescu, A., & Zobel, V. (2011). SHREC 2011: Robust feature detection and description benchmark. En T. Schreck, A. Ferreira, A. Godil, H. Laga, R. Veltkamp, & I. Pratikakis (Eds.), Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011 (pp. 71-78). (Eurographics Workshop on 3D Object Retrieval, EG 3DOR). Eurographics Association. https://doi.org/10.2312/3DOR/3DOR11/071-078

Boyer, E. ; Bronstein, A. M. ; Bronstein, M. M. et al. / SHREC 2011 : Robust feature detection and description benchmark. Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011. editor / Tobias Schreck ; Alfredo Ferreira ; Afzal Godil ; Hamid Laga ; Remco Veltkamp ; Ioannis Pratikakis. Eurographics Association, 2011. pp. 71-78 (Eurographics Workshop on 3D Object Retrieval, EG 3DOR).

@inproceedings{e49ca6d8df524d5bbfd7adf866fcec3a,

title = "SHREC 2011: Robust feature detection and description benchmark",

abstract = "Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description benchmark simulates the feature detection and description stages of feature-based shape retrieval algorithms. The benchmark tests the performance of shape feature detectors and descriptors under a wide variety of transformations. The benchmark allows evaluating how algorithms cope with certain classes of transformations and strength of the transformations that can be dealt with. The present paper is a report of the SHREC'11 robust feature detection and description benchmark results.",

author = "E. Boyer and Bronstein, \{A. M.\} and Bronstein, \{M. M.\} and B. Bustos and T. Darom and R. Horaud and I. Hotz and Y. Keller and J. Keustermans and A. Kovnatsky and R. Litman and J. Reininghaus and I. Sipiran and D. Smeets and P. Suetens and D. Vandermeulen and A. Zaharescu and V. Zobel",

note = "Publisher Copyright: {\textcopyright} The Eurographics Association 2011.; 4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 ; Conference date: 10-04-2011",

year = "2011",

doi = "10.2312/3DOR/3DOR11/071-078",

language = "English",

series = "Eurographics Workshop on 3D Object Retrieval, EG 3DOR",

publisher = "Eurographics Association",

pages = "71--78",

editor = "Tobias Schreck and Alfredo Ferreira and Afzal Godil and Hamid Laga and Remco Veltkamp and Ioannis Pratikakis",

booktitle = "Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011",

}

Boyer, E, Bronstein, AM, Bronstein, MM, Bustos, B, Darom, T, Horaud, R, Hotz, I, Keller, Y, Keustermans, J, Kovnatsky, A, Litman, R, Reininghaus, J, Sipiran, I, Smeets, D, Suetens, P, Vandermeulen, D, Zaharescu, A & Zobel, V 2011, SHREC 2011: Robust feature detection and description benchmark. En T Schreck, A Ferreira, A Godil, H Laga, R Veltkamp & I Pratikakis (eds.), Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011. Eurographics Workshop on 3D Object Retrieval, EG 3DOR, Eurographics Association, pp. 71-78, 4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011, Llandudno, Reino Unido, 10/04/11. https://doi.org/10.2312/3DOR/3DOR11/071-078

SHREC 2011: Robust feature detection and description benchmark. / Boyer, E.; Bronstein, A. M.; Bronstein, M. M. et al.
Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011. ed. / Tobias Schreck; Alfredo Ferreira; Afzal Godil; Hamid Laga; Remco Veltkamp; Ioannis Pratikakis. Eurographics Association, 2011. p. 71-78 (Eurographics Workshop on 3D Object Retrieval, EG 3DOR).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - SHREC 2011

T2 - 4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011

AU - Boyer, E.

AU - Bronstein, A. M.

AU - Bronstein, M. M.

AU - Bustos, B.

AU - Darom, T.

AU - Horaud, R.

AU - Hotz, I.

AU - Keller, Y.

AU - Keustermans, J.

AU - Kovnatsky, A.

AU - Litman, R.

AU - Reininghaus, J.

AU - Sipiran, I.

AU - Smeets, D.

AU - Suetens, P.

AU - Vandermeulen, D.

AU - Zaharescu, A.

AU - Zobel, V.

PY - 2011

Y1 - 2011

N2 - Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description benchmark simulates the feature detection and description stages of feature-based shape retrieval algorithms. The benchmark tests the performance of shape feature detectors and descriptors under a wide variety of transformations. The benchmark allows evaluating how algorithms cope with certain classes of transformations and strength of the transformations that can be dealt with. The present paper is a report of the SHREC'11 robust feature detection and description benchmark results.

AB - Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description benchmark simulates the feature detection and description stages of feature-based shape retrieval algorithms. The benchmark tests the performance of shape feature detectors and descriptors under a wide variety of transformations. The benchmark allows evaluating how algorithms cope with certain classes of transformations and strength of the transformations that can be dealt with. The present paper is a report of the SHREC'11 robust feature detection and description benchmark results.

UR - https://www.scopus.com/pages/publications/85018218085

U2 - 10.2312/3DOR/3DOR11/071-078

DO - 10.2312/3DOR/3DOR11/071-078

M3 - Conference contribution

AN - SCOPUS:85018218085

T3 - Eurographics Workshop on 3D Object Retrieval, EG 3DOR

SP - 71

EP - 78

BT - Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011

A2 - Schreck, Tobias

A2 - Ferreira, Alfredo

A2 - Godil, Afzal

A2 - Laga, Hamid

A2 - Veltkamp, Remco

A2 - Pratikakis, Ioannis

PB - Eurographics Association

Y2 - 10 April 2011

ER -

Boyer E, Bronstein AM, Bronstein MM, Bustos B, Darom T, Horaud R et al. SHREC 2011: Robust feature detection and description benchmark. En Schreck T, Ferreira A, Godil A, Laga H, Veltkamp R, Pratikakis I, editores, Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011. Eurographics Association. 2011. p. 71-78. (Eurographics Workshop on 3D Object Retrieval, EG 3DOR). doi: 10.2312/3DOR/3DOR11/071-078

SHREC 2011: Robust feature detection and description benchmark

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