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Three Dimensional Shape Recovery From Image Focus: Introducing Latest 3-D shape recovery from Image focus algorithms based on Image Processing and Machine Learning. - Softcover
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Recovering an accurate and precise 3-D shape of the unknown microscopic object using the shape from focus architecture is an involved problem in computer vision community. 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 to the gathered stack of images to convert the corresponding RGB color information into focus quantity at each pixel. The initial depth map is acquired by maximizing the focus measure curve along the optical axis of the camera. An approximation approach or a regression algorithm is mainly employed after the focus measure algorithm. Recovering 3-D shape using the shape from focus architecture has numerous industrial and medical applications and is currently practiced in most of the developed countries.
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Three Dimensional Shape Recovery From Image Focus
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LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10: 6139816807
ISBN 13: 9786139816804
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recovering an accurate and precise 3-D shape of the unknown microscopic object using the shape from focus architecture is an involved problem in computer vision community. 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 to the gathered stack of images to convert the corresponding RGB color information into focus quantity at each pixel. The initial depth map is acquired by maximizing the focus measure curve along the optical axis of the camera. An approximation approach or a regression algorithm is mainly employed after the focus measure algorithm. Recovering 3-D shape using the shape from focus architecture has numerous industrial and medical applications and is currently practiced in most of the developed countries. 84 pp. Englisch. Seller Inventory # 9786139816804
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Three Dimensional Shape Recovery From Image Focus
Published by
LAP Lambert Academic Publishing, 2018
ISBN 10: 6139816807
ISBN 13: 9786139816804
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Three Dimensional Shape Recovery From Image Focus : Introducing Latest 3-D shape recovery from Image focus algorithms based on Image Processing and Machine Learning.
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139816807
ISBN 13: 9786139816804
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recovering an accurate and precise 3-D shape of the unknown microscopic object using the shape from focus architecture is an involved problem in computer vision community. 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 to the gathered stack of images to convert the corresponding RGB color information into focus quantity at each pixel. The initial depth map is acquired by maximizing the focus measure curve along the optical axis of the camera. An approximation approach or a regression algorithm is mainly employed after the focus measure algorithm. Recovering 3-D shape using the shape from focus architecture has numerous industrial and medical applications and is currently practiced in most of the developed countries. Seller Inventory # 9786139816804
Quantity: 1 available
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Three Dimensional Shape Recovery From Image Focus
Published by
LAP Lambert Academic Publishing, 2018
ISBN 10: 6139816807
ISBN 13: 9786139816804
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Three Dimensional Shape Recovery From Image Focus
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139816807
ISBN 13: 9786139816804
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mahmood FahadFahad Mahmood received BS-MTS from NUST in 2012 and MS in 2017. He has worked in SIPL Lab GIST-Korea since 2015. Currently, he is working as Research Associate in SDSB-LUMS. His research interests include Image Processin. Seller Inventory # 385661738
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Three Dimensional Shape Recovery From Image Focus
Published by
LAP Lambert Academic Publishing, 2018
ISBN 10: 6139816807
ISBN 13: 9786139816804
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Three Dimensional Shape Recovery From Image Focus
Published by
LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10: 6139816807
ISBN 13: 9786139816804
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Recovering an accurate and precise 3-D shape of the unknown microscopic object using the shape from focus architecture is an involved problem in computer vision community. 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 to the gathered stack of images to convert the corresponding RGB color information into focus quantity at each pixel. The initial depth map is acquired by maximizing the focus measure curve along the optical axis of the camera. An approximation approach or a regression algorithm is mainly employed after the focus measure algorithm. Recovering 3-D shape using the shape from focus architecture has numerous industrial and medical applications and is currently practiced in most of the developed countries.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Seller Inventory # 9786139816804
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