A novel interest point detector is presented in this paper. It uses a wedge model that characterizes corners by their orientation and angular width. The detector is compared to two popular corner detectors: Harris and SUSAN. It is also shown how widely separated views can be matched, by us mg the information provided by the detector to approximate local affine transformations between corners.
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