Please use this identifier to cite or link to this item:
|Title:||3D ordinal constraint in spatial configuration for robust scene recognition||Authors:||Teo, C.L.
|Issue Date:||2008||Citation:||Teo, C.L.,Li, S.,Cheong, L.-F.,Sun, J. (2008). 3D ordinal constraint in spatial configuration for robust scene recognition. Proceedings - International Conference on Pattern Recognition. ScholarBank@NUS Repository.||Abstract:||This paper proposes a scene recognition strategy that integrates the appearance based local SURF features and the geometry based 3D ordinal constraint. Firstly, we show that spatial ordinal ranks of 3D landmarks are well correlated across large camera viewpoint and view direction changes and thus serve as a powerful tool for scene recognition. Secondly, ordinal depth information is acquired in a simple and robust manner when the camera undergoes a bio-mimic 'Turn-back- and-Look'(TBL) motion. Thirdly, a scene recognition strategy is proposed by combining local SURF feature matches and global 3D rank correlation coefficient into the scene recognition decision process. The performance is validated and evaluated over four indoor and outdoor databases. © 2008 IEEE.||Source Title:||Proceedings - International Conference on Pattern Recognition||URI:||http://scholarbank.nus.edu.sg/handle/10635/43342||ISBN:||9781424421756||ISSN:||10514651|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 23, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.