In order to improve the rotation invariant property of the conventional template matching method, a novel template matching based on the polar coordinate was proposed. The origin of the polar coordinate was at the center of the template. And the matching result was central symmetry, which made the method have the translation and rotation invariant properties simultaneously. The recognition process was divided into two phased. In the first phase, gray information was used to complete matching calculation, and some candidate points were selected according to the matching result. In the second phase, edge strong matching of candidate points was completed. The candidate point, where the sum of gray matching value and edge strong matching value was minimal, was determined as the best matching point. Experiments results show that this method can meet the real-time requirement of the TV tracking system.
Bioinspired Robotic Vision with Online Learning Capability and Rotation‐Invariant Properties
