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Recognizing large 3-D objects through next view planning using an uncalibrated camera

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3 Author(s)
Roy, S.D. ; Dept. of Electr. Eng., ITT Bombay, Powai, India ; Chaudhury, S. ; Banerjee, S.

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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Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on  (Volume:2 )

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