A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shapes Recognition Using the Straight Line Hough Transform: Theory and Generalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Artificial Intelligence - Special volume on computer vision
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple line-template matching with the EM algorithm
Pattern Recognition Letters - special issue on pattern recognition in practice V
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Virtual circles: a new set of features for fast image registration
Pattern Recognition Letters
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Rover visual obstacle avoidance
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
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In this paper, an efficient and robust algorithm is proposed for image registration, where the images have been acquired at different times, by different sensors and some changes may take place in the scene during the time interval when the images were taken. By simulating human vision behaviors, image registration is carried out through a two-stage process. First, the rotation angles are computed by comparing the distributions of gradient orientations, which is implemented by a simple 1-D correlation. Then, a new approach is presented to detect significant corners in two images and the correspondences are established between corners in two images. At this time, the orientation difference has been removed between the images, so the corner correspondences can be established more efficiently. To account for the false corner correspondences, the voting method is used to determine the transformation parameters. Experimental results are also given.