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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

85 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 originalInglés
Título de la publicación alojadaEurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011
EditoresTobias Schreck, Alfredo Ferreira, Afzal Godil, Hamid Laga, Remco Veltkamp, Ioannis Pratikakis
EditorialEurographics Association
Páginas71-78
Número de páginas8
ISBN (versión digital)9783905674316
DOI
EstadoPublicada - 2011
Publicado de forma externa
Evento4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - Llandudno, Reino Unido
Duración: 10 abr. 2011 → …

Serie de la publicación

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

Conferencia

Conferencia4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011
País/TerritorioReino Unido
CiudadLlandudno
Período10/04/11 → …

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