Optimizing Focus Measure Approaches in 3-D Shape Recovery: Introducing Latest Focus Measure Approaches suitable for 3D Shapes based on Shape From Focus Architectures - Softcover
Synopsis
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.
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Optimizing Focus Measure Approaches in 3-D Shape Recovery
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LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139844290
ISBN 13: 9786139844296
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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 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. Seller Inventory # 9786139844296
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Optimizing Focus Measure Approaches in 3-D Shape Recovery
Published by
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139844290
ISBN 13: 9786139844296
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Seller Inventory # 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
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139844290
ISBN 13: 9786139844296
New
Taschenbuch
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Taschenbuch. Condition: 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. Seller Inventory # 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
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139844290
ISBN 13: 9786139844296
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 113883118
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Optimizing Focus Measure Approaches in 3-D Shape Recovery
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA79061398442906