Image features make maxima in parameter spaces. Algorithms {hill-climbing methods} can find local maxima that exceed threshold amount. If maximum is at feature parameter-space location and exceeds threshold, algorithm states that feature is in image and identifies location. Hill-climbing methods can become stuck at local maxima and fail to find more-important maxima.
Mathematical Sciences>Computer Science>Systems>Computer Vision>Algorithms>Hill Climb
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Date Modified: 2022.0224