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Two applications of RGB-D descriptors in computer vision

  • Mariano Bianchi
  • , Nadia Heredia
  • , Francisco Gómez-Fernández
  • , Alvaro Pardo
  • , Marta Mejail
  • Universidad de Buenos Aires

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

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAlvaro Pardo, Josef Kittler
PublisherSpringer Verlag
Pages236-244
Number of pages9
ISBN (Print)9783319257501
DOIs
StatePublished - 2015
Event20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015 - Montevideo, Uruguay
Duration: 9 Nov 2015 → 12 Nov 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9423
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015
Country/TerritoryUruguay
CityMontevideo
Period9/11/15 → 12/11/15

Keywords

  • Object recognition
  • Point clouds
  • RGB-D
  • Tracking

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