Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes

  title={Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes},
  author={Bill Triggs},
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as ‘keypoints’ or ‘points of interest’. Their performance depends critically on the accuracy and reliability with which corresponding keypoints can be found in subsequent images. Among the many existing keypoint selection criteria, the popular Förstner-Harris approach explicitly targets geometric stability, defining keypoints to be points… CONTINUE READING
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