Omnidirectional Depth Computation from a Single Image
dc.contributor.author
dc.date.accessioned
2010-05-26T11:53:45Z
dc.date.available
2010-05-03T15:13:02Z
2010-05-26T11:53:45Z
dc.date.issued
2005
dc.identifier.citation
Orghidan, R., Mouaddib, E.M., i Salvi, J. (2005). Omnidirectional Depth Computation from a Single Image. Proceedings of the 2005 IEEE International Conference on Robotics and Automation : 2005 : ICRA 2005, 1222-1227. Recuperat 26 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1570282
dc.identifier.isbn
0-7803-8914-X
dc.identifier.uri
dc.description.abstract
Omnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical method for obtaining depth in computer vision is to project a known structured light pattern on the scene avoiding the problems and costs involved by stereo vision. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to provide 3D information about the scene. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector. It is also discussed how this sensor can be used in robot navigation applications
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
dc.relation.ispartof
© Proceedings of the 2005 IEEE International Conference on Robotics and Automation : 2005 : ICRA 2005, 2005, p. 1222-1227
dc.relation.ispartofseries
Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Omnidirectional Depth Computation from a Single Image
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess