Estimation of Three‐Dimensional Object Orientation for Computer Vision Systems with Feedback
W. C. Lin, K. S. Fu, Thomas W. Sederberg · Journal of Robotic Systems · 1984
Abstract The determination of orientation information of a 3D object is a crucial step in hypothesis‐verification approach to object recognition. In this paper. two approaches are presented to estimate the orientation parameters of a 3D object from a single image. The first one is based on camera model estimation and analysis. The second one is a hierarchical search method. Simulation experiments are conducted to evaluate the performance of the estimations.