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18th International Conference on Pattern Recognition (ICPR'06) Volume 1
Use of Viewpoint Information for Example Selection in CBIR
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Kanji Tanaka, Graduate School of Engineering, Kyushu University, Japan
Mitsuru Hirayama, Graduate School of Engineering, Kyushu University, Japan
Nobuhiro Okada, Graduate School of Engineering, Kyushu University, Japan
Eiji Kondo, Graduate School of Engineering, Kyushu University, Japan
Images play important role in telerobotic interface systems. A set of images taken by an image sensor equipped on a mobile robot is helpful for a remote user to recognize the conditions of the robot as well as its operating environments. We view such an image set as a large-scale image database, and apply Content-Based Image Retrieval (CBIR) to visualize the image database. We will propose a novel CBIR method that efficiently searches such relevant objects based not only on their features, but also on their locations with respect to the operating environment.
Citation:
Kanji Tanaka, Mitsuru Hirayama, Nobuhiro Okada, Eiji Kondo, "Use of Viewpoint Information for Example Selection in CBIR," icpr, vol. 1, pp.1054, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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