A comparative study of image feature detection and description methods for robot vision

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Resumen

Detection and description of local features in images is an essential task in robot vision. This task allows to identify and uniquely specify stable and invariant regions in a observed scene. Many successful detectors and descriptors have been proposed. However, the proper combination of a detector and a descriptor is not trivial because there is a trade-off among different performance criteria. This work presents a comparative study of successful image feature detection and description methods in the context of the simultaneous localization and mapping problem. The considered methods are exhaustively evaluated in terms of accuracy, robustness, and processing time.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing XIII
EditoresKhan M. Iftekharuddin, Abdul A. S. Awwal, Victor H. Diaz-Ramirez, Andres Marquez
EditorialSPIE
ISBN (versión digital)9781510629653
DOI
EstadoPublicada - 2019
EventoOptics and Photonics for Information Processing XIII 2019 - San Diego, Estados Unidos
Duración: 13 ago. 201914 ago. 2019

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen11136
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaOptics and Photonics for Information Processing XIII 2019
País/TerritorioEstados Unidos
CiudadSan Diego
Período13/08/1914/08/19

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