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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2780

Title: Recognizing large 3-D objects through next view planning using an uncalibrated camera
Authors: ROY, SD
CHAUDHURY, S
BANERJEE, S
Keywords: appearance-based parts
recognition
Issue Date: 2001
Publisher: IEEE COMPUTER SOC
Citation: EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL II, PROCEEDINGS,276-281
Abstract: We present a new on-line scheme for the recognition and pose estimation of a large isolated 3-D object, which may not entirely fit in a camera's field of view. We do not assume any knowledge of the internal parameters of the camera, or their constancy We use a probabilistic reasoning framework for recognition and next view planning. We show results of successful recognition and pose estimation even in cases of a high degree of interpretation ambiguity associated with the initial view.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/16175
http://hdl.handle.net/100/2780
ISBN: 0-7695-1144-9
Appears in Collections:Proceedings papers

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