Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera

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.

• Type: Conference
• Year: 2001
• Where: ICCV
• Authors: Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
• Keywords: Computer Vision, ICCV 2001, Initial View, Isolated 3-D Object, Probabilistic Reasoning Framework, Successful Recognition