Two applications of RGB-D descriptors in computer vision

Mariano Bianchi, Nadia Heredia, Francisco Gómez-Fernández, Alvaro Pardo, Marta Mejail

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

Resumen

In this paper an evaluation of RGB-D descriptors in the context of Object Recognition and Object Tracking is presented. Spinimages, CSHOT and ECV context descriptors were used for detecting objects in point clouds. Empirical evaluation over a dataset with ground truth shows that shape is the most important cue for RGB-D descriptors. However, texture helps discrimination when objects are large or have little structure.

Idioma originalInglés
Título de la publicación alojadaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditoresAlvaro Pardo, Josef Kittler
EditorialSpringer Verlag
Páginas236-244
Número de páginas9
ISBN (versión impresa)9783319257501
DOI
EstadoPublicada - 2015
Evento20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015 - Montevideo
Duración: 9 nov. 201512 nov. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9423
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015
País/TerritorioUruguay
CiudadMontevideo
Período9/11/1512/11/15

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