Feature-based approach for image correspondence estimation
Xiaohui Yuan, Jian Zhang, Bill P. Buckles, Zhaoshan Yuan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
A feature based approach cooperating with Evolution Strategies for image correspondence estimation is proposed. As an optimization algorithm, Evolution Strategies is employed to search the optimal correspondence through out the source images. Instead of finding the correspondence of the entire image, the spatial relationships ofthe feature configuration in each image are discovered, where feature configuration is defined as the cluster of feature vectors on an image representing homogeneous feature distribution. Employing ES reduces the computational expense and broadens the applicable area since the comparison is restricted to the area inside the search structure of Evolution Strategies, which is defined as an ellipse. The results from various test images prove it to be an efficient and effective approach.