Includes the work done within the course Image Analysis, which covers the following topics: SIFT Descriptor, Learning and Convolutional Neural Networks, Image Registration, Triangulation and Digit ...
Abstract: RANSAC is a popular and robust fitting algorithm. In the field of image processing, RANSAC can be successfully used to reject false correspondences between similar images. Due to its ...
The program can extract SIFT feature descriptors from images and compute matching point pairs based on these feature descriptors. Then, it uses the RANSAC algorithm to calculate the homography matrix.
Abstract: In both simulated and real experiments, the recursive random sample consensus (R-RANSAC) algorithm has shown promise as an efficient multiple target tracking (MTT) filter. In this paper, we ...
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