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Optimizing Focus Measure Approaches in 3-D Shape Recovery
Edité par
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10 : 6139844290
ISBN 13 : 9786139844296
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recovering an accurate and precise 3-D shape from its 2-D images stacks using the shape from focus architecture is a fundamental objective of 3-D shape recovery. The focus measure computation plays a vital role in the accuracy and robustness of the shape from focus algorithm as it computes image focus volume from the acquired dataset of 2-D images. Mostly the shape from focus architecture suffers from a different variant of noise in image dataset and the loss of focus data between sequential frames because of discreteness. A microscopic object is placed on a translational stage which is capable of moving up and down in optical axis of the camera. A stack of images is gathered by capturing each image at the discrete steps. During image acquisition step, the stage is translating with respect to the camera while the RGB camera sensor is stationary at a predefined known height. After image acquisition step, a focus measure algorithm is applied on the gathered stack of images to convert the corresponding RGB color information into focus quantity at each pixel. This book introduces Latest focus measure approaches based on Shape from focus architecture. 124 pp. Englisch. N° de réf. du vendeur 9786139844296
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Optimizing Focus Measure Approaches in 3-D Shape Recovery
Edité par
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10 : 6139844290
ISBN 13 : 9786139844296
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -Recovering an accurate and precise 3-D shape from its 2-D images stacks using the shape from focus architecture is a fundamental objective of 3-D shape recovery. The focus measure computation plays a vital role in the accuracy and robustness of the shape from focus algorithm as it computes image focus volume from the acquired dataset of 2-D images. Mostly the shape from focus architecture suffers from a different variant of noise in image dataset and the loss of focus data between sequential frames because of discreteness. A microscopic object is placed on a translational stage which is capable of moving up and down in optical axis of the camera. A stack of images is gathered by capturing each image at the discrete steps. During image acquisition step, the stage is translating with respect to the camera while the RGB camera sensor is stationary at a predefined known height. After image acquisition step, a focus measure algorithm is applied on the gathered stack of images to convert the corresponding RGB color information into focus quantity at each pixel. This book introduces Latest focus measure approaches based on Shape from focus architecture.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch. N° de réf. du vendeur 9786139844296
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Optimizing Focus Measure Approaches in 3-D Shape Recovery : Introducing Latest Focus Measure Approaches suitable for 3D Shapes based on Shape From Focus Architectures
Edité par
LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6139844290
ISBN 13 : 9786139844296
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recovering an accurate and precise 3-D shape from its 2-D images stacks using the shape from focus architecture is a fundamental objective of 3-D shape recovery. The focus measure computation plays a vital role in the accuracy and robustness of the shape from focus algorithm as it computes image focus volume from the acquired dataset of 2-D images. Mostly the shape from focus architecture suffers from a different variant of noise in image dataset and the loss of focus data between sequential frames because of discreteness. A microscopic object is placed on a translational stage which is capable of moving up and down in optical axis of the camera. A stack of images is gathered by capturing each image at the discrete steps. During image acquisition step, the stage is translating with respect to the camera while the RGB camera sensor is stationary at a predefined known height. After image acquisition step, a focus measure algorithm is applied on the gathered stack of images to convert the corresponding RGB color information into focus quantity at each pixel. This book introduces Latest focus measure approaches based on Shape from focus architecture. N° de réf. du vendeur 9786139844296
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Optimizing Focus Measure Approaches in 3-D Shape Recovery | Introducing Latest Focus Measure Approaches suitable for 3D Shapes based on Shape From Focus Architectures
Edité par
LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6139844290
ISBN 13 : 9786139844296
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Optimizing Focus Measure Approaches in 3-D Shape Recovery | Introducing Latest Focus Measure Approaches suitable for 3D Shapes based on Shape From Focus Architectures | Fahad Mahmood (u. a.) | Taschenbuch | 124 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139844296 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 113883118
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Optimizing Focus Measure Approaches in 3-D Shape Recovery
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA79061398442906
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