Statistical Methods for Descriptor Matching

Language: English

Published by Scholars' Press Apr 2014, 2014

363971539X / 9783639715392

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This item is printed on demand - Print on Demand Titel. 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.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 128 pp. Englisch.

Seller Inventory # 9783639715392

Title
Statistical Methods for Descriptor Matching
Author
Olivier Collier
Publisher
Scholars' Press Apr 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
363971539X
ISBN 13
9783639715392
Item weight
209 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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