Transcription of Lecture 06: Harris Corner Detector
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CSE486, Penn StateRobert CollinsLecture 06: Harris Corner DetectorReading: T&V Section , Penn StateRobert CollinsMotivation: Matchng ProblemVision tasks such as stereo and motion estimation requirefinding corresponding features across two or more , Penn StateRobert CollinsMotivation: Patch MatchingCamps, PSU==??Task: find the best (most similar) patch in a second imageElements to be matched are image patches of fixed sizeCSE486, Penn StateRobert CollinsNot all Patches are Created Equal!Camps, PSU==??Inituition: this would be a good patch for matching, sinceit is very distinctive (there is only one patch in the secondframe that looks similar).
Note: these are just products of components of the gradient, Ix, Iy Windowing function - computing a weighted sum (simplest case, w=1) CSE486, Penn State Robert Collins Intuitive Way to Understand Harris Treat gradient vectors as a set of (dx,dy) points with a center of mass defined as being at (0,0).
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