Statistical Methods for Descriptor Matching: Mathematical Problems in Computer Vision - Brossura

Collier, Olivier

 
9783639715392: Statistical Methods for Descriptor Matching: Mathematical Problems in Computer Vision
Brossura
ISBN 10: 363971539X ISBN 13: 9783639715392
Casa editrice: Scholars' Press, 2014

Sinossi

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.

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L'autore

Olivier Collier is a former student of the Ecole Normale Supérieure de Cachan. He obtained his PhD under the supervision of Arnak Dalalyan at Université Paris-Est (France). He is now a postdoctoral researcher at Ecole des Mines de Paris and Institut Curie.

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Editore
Scholars' Press
Data di pubblicazione
2014
Lingua
Inglese
ISBN 10 
363971539X
ISBN 13 
9783639715392
Rilegatura
Copertina flessibile
Numero di pagine
128
Contatto del produttore
non disponibile
Persona responsabile
non disponibile