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.
Recognizing large 3-D objects through next view planning using an uncalibrated camera
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 ; 2 ; 276-281 vol.2
2001-01-01
868653 byte
Conference paper
Electronic Resource
English
Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera
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