Articoli correlati a Three-Dimensional Shape Recovery from Image Focus:...
Three-Dimensional Shape Recovery from Image Focus: Application of machine learning techniques in shape from focus - Brossura
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 41,05
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costi
Risultati della ricerca per Three-Dimensional Shape Recovery from Image Focus:...
Immagini fornite dal venditore
Three-Dimensional Shape Recovery from Image Focus
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659210153
ISBN 13: 9783659210150
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mahmood Muhammad TariqMuhammad 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 Tec. Codice articolo 5139912
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Three-Dimensional Shape Recovery from Image Focus
Editore:
LAP LAMBERT Academic Publishing Aug 2012, 2012
ISBN 10: 3659210153
ISBN 13: 9783659210150
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch. Codice articolo 9783659210150
Quantità: 2 disponibili
Immagini fornite dal venditore
Three-Dimensional Shape Recovery from Image Focus : Application of machine learning techniques in shape from focus
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659210153
ISBN 13: 9783659210150
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783659210150
Quantità: 1 disponibili
Immagini fornite dal venditore
Three-Dimensional Shape Recovery from Image Focus
Editore:
LAP LAMBERT Academic Publishing Aug 2012, 2012
ISBN 10: 3659210153
ISBN 13: 9783659210150
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 120 pp. Englisch. Codice articolo 9783659210150
Quantità: 2 disponibili
Foto dell'editore
Three-Dimensional Shape Recovery from Image Focus: Application of machine learning techniques in shape from focus
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659210153
ISBN 13: 9783659210150
Antico o usato
Paperback
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
Paperback. Condizione: Like New. Like New. book. Codice articolo ERICA79636592101536
Quantità: 1 disponibili