Statistical Methods for Descriptor Matching

Collier, Olivier

ISBN 10: 363971539X / ISBN 13: 9783639715392

Verlag: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

Beschreibung

Print on Demand pp. 128 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Bestandsnummer des Verkäufers 131824694

Bibliografische Details

• Titel: Statistical Methods for Descriptor Matching
• Verlag: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
• Veröffentlichungsdatum: 2014
• Sprache: Englisch
• ISBN-10: 363971539X
• ISBN-13: 9783639715392
• Bindung: Softcover
• Zustand: New

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.