Recognizing large 3-D objects through next view planning using an uncalibrated camera
DSpace at IIT Bombay
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Title |
Recognizing large 3-D objects through next view planning using an uncalibrated camera
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Creator |
ROY, SD
CHAUDHURY, S BANERJEE, S |
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Subject |
appearance-based parts
recognition |
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Description |
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.
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Publisher |
IEEE COMPUTER SOC
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Date |
2011-10-27T00:10:14Z
2011-12-15T09:12:37Z 2011-10-27T00:10:14Z 2011-12-15T09:12:37Z 2001 |
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Type |
Proceedings Paper
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Identifier |
EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL II, PROCEEDINGS,276-281
0-7695-1144-9 http://dspace.library.iitb.ac.in/xmlui/handle/10054/16175 http://hdl.handle.net/100/2780 |
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Source |
8th IEEE International Conference on Computer Vision (ICCV 2001),VANCOUVER, CANADA,JUL 07-14, 2001
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Language |
English
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