A Recursive Optical Flow Approximating Approach to 3-D Object Shape Recognition

Abstract

This paper considers a recursive optical flow approximating approach to recognizing the shape of a three-dimensional object. After the object model is derived here under the assumption that the shape of the object model is not intricate, a shape-recognition algorithm is demonstrated within the framework of the gradient method. Finally, the convergence of the algorithm is shown, considering the cost function.