Statistical Methods for Descriptor Matching

Olivier Collier

ISBN 10: 363971539X / ISBN 13: 9783639715392

Verlag: Scholars' Press Apr 2014, 2014

Beschreibung

Neuware -Many applications, as in computer vision or medicine, aim at identifying the similarities between several images or signals. Thereafter, it is possible to detect objects, to follow them, or to overlap different pictures. In every case, the algorithmic procedures that treat the images use a selection of keypoints that they try to match by pairs. The most popular algorithm nowadays is SIFT, that performs keypoint selection, descriptor calculation, and provides a criterion for global descriptor matching. We considered changing the classical descriptor, which resulted in a shift testing problem that we solved in the minimax frame. Then, we gave a rigorous statistical formulation for the global descriptor matching problem and studied it in some special cases.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.

Bestandsnummer des Verkäufers 9783639715392

Bibliografische Details

• Titel: Statistical Methods for Descriptor Matching
• Verlag: Scholars' Press Apr 2014
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 363971539X
• ISBN-13: 9783639715392
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Many applications, as in computer vision or medicine, aim at identifying the similarities between several images or signals. Thereafter, it is possible to detect objects, to follow them, or to overlap different pictures. In every case, the algorithmic procedures that treat the images use a selection of keypoints that they try to match by pairs. The most popular algorithm nowadays is SIFT, that performs keypoint selection, descriptor calculation, and provides a criterion for global descriptor matching. We considered changing the classical descriptor, which resulted in a shift testing problem that we solved in the minimax frame. Then, we gave a rigorous statistical formulation for the global descriptor matching problem and studied it in some special cases.