In computer vision, maximally stable extremal regions (MSER) are used as a method of blob detection in images. This technique was proposed by Matas et al. to find correspondences between image elements from two images with different viewpoints. This method of extracting a comprehensive number of corresponding image elements contributes to the wide-baseline matching, and it has led to better stereo matching and object recognition algorithms.
Read more about Maximally Stable Extremal Regions: Terms and Definitions, Advantages of MSER, Implementation, Robust Wide-baseline Algorithm, Extensions and Adaptations, Other Applications
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