Three-Dimensional Shape Recovery from Image Focus: Application of machine learning techniques in shape from focus - Couverture souple

Mahmood, Muhammad Tariq

 
9783659210150: Three-Dimensional Shape Recovery from Image Focus: Application of machine learning techniques in shape from focus
Couverture souple
ISBN 10 : 3659210153 ISBN 13 : 9783659210150
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Inferring three-dimensional (3D) shape of real objects from visual information belongs to the main domain of the computer vision applications. Shape From Focus (SFF) is one of the passive methods that uses focus as a cue to infer the 3D structure of the object. In SFF, the objective is to find out the depth by measuring the distance of well-focused position of each object point from the camera lens. A sequence of images is acquired either by displacing the object in small steps or by changing the focal length of the lens in the camera. First, a focus measure, which is a criterion that can effectively measure the focus quality, is applied on each image pixel of the sequence. An initial depth map is obtained by maximizing the focus measure along the optical axis. In order to refine the initial depth estimate, different approximation and machine learning techniques have been used. In this book, various focus measures and SFF techniques based on machine learning approaches are discussed.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Inferring three-dimensional (3D) shape of real objects from visual information belongs to the main domain of the computer vision applications. Shape From Focus (SFF) is one of the passive methods that uses focus as a cue to infer the 3D structure of the object. In SFF, the objective is to find out the depth by measuring the distance of well-focused position of each object point from the camera lens. A sequence of images is acquired either by displacing the object in small steps or by changing the focal length of the lens in the camera. First, a focus measure, which is a criterion that can effectively measure the focus quality, is applied on each image pixel of the sequence. An initial depth map is obtained by maximizing the focus measure along the optical axis. In order to refine the initial depth estimate, different approximation and machine learning techniques have been used. In this book, various focus measures and SFF techniques based on machine learning approaches are discussed.

Biographie de l'auteur

Muhammad Tariq Mahmood received MS degree in intelligent software systems from BTH, Sweden in 2006 and PhD degree in mechatronics from GIST, Korea. Currently, he is assistant professor at Korea University of Technology and Education, Korea. His research interests include image processing, 3D shape recovery, computer vision, and machine learning.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659210153
ISBN 13 
9783659210150
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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Brakel
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Autres éditions populaires du même titre

9786139816804: Three Dimensional Shape Recovery From Image Focus

Edition présentée

ISBN 10 :  6139816807 ISBN 13 :  9786139816804
Editeur : LAP Lambert Academic Publishing, 2018
Couverture souple