Ebook: Depth From Defocus: A Real Aperture Imaging Approach

Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance. These tasks are performed in a 3-D world and it is imperative to gather reliable information on the 3-D structure of the scene. This book is about passive techniques for depth recovery, where the scene is illuminated only by natural light as opposed to active methods where a special lighting device is used for scene illumination. Passive methods have a wider range of applicability and also correspond to the way humans infer 3-D structure from visual images.

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Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance. These tasks are performed in a 3-D world and it is imperative to gather reliable information on the 3-D structure of the scene. This book is about passive techniques for depth recovery, where the scene is illuminated only by natural light as opposed to active methods where a special lighting device is used for scene illumination. Passive methods have a wider range of applicability and also correspond to the way humans infer 3-D structure from visual images.

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Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance. These tasks are performed in a 3-D world and it is imperative to gather reliable information on the 3-D structure of the scene. This book is about passive techniques for depth recovery, where the scene is illuminated only by natural light as opposed to active methods where a special lighting device is used for scene illumination. Passive methods have a wider range of applicability and also correspond to the way humans infer 3-D structure from visual images.
Content:
Front Matter....Pages i-xix
Passive Methods for Depth Recovery....Pages 1-13
Depth Recovery from Defocused Images....Pages 14-27
Mathematical Background....Pages 28-39
Depth Recovery with a Block Shift-Variant Blur Model....Pages 40-54
Space-Variant Filtering Models for Recovering Depth....Pages 55-69
ML Estimation of Depth and Optimal Camera Settings....Pages 70-90
Recursive Computation of Depth from Multiple Images....Pages 91-104
MRF Model-Based Identification of Shift-Variant PSF....Pages 105-121
Simultaneous Depth Recovery and Image Restoration....Pages 122-140
Conclusions....Pages 141-149
Back Matter....Pages 150-172

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Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance. These tasks are performed in a 3-D world and it is imperative to gather reliable information on the 3-D structure of the scene. This book is about passive techniques for depth recovery, where the scene is illuminated only by natural light as opposed to active methods where a special lighting device is used for scene illumination. Passive methods have a wider range of applicability and also correspond to the way humans infer 3-D structure from visual images.
Content:
Front Matter....Pages i-xix
Passive Methods for Depth Recovery....Pages 1-13
Depth Recovery from Defocused Images....Pages 14-27
Mathematical Background....Pages 28-39
Depth Recovery with a Block Shift-Variant Blur Model....Pages 40-54
Space-Variant Filtering Models for Recovering Depth....Pages 55-69
ML Estimation of Depth and Optimal Camera Settings....Pages 70-90
Recursive Computation of Depth from Multiple Images....Pages 91-104
MRF Model-Based Identification of Shift-Variant PSF....Pages 105-121
Simultaneous Depth Recovery and Image Restoration....Pages 122-140
Conclusions....Pages 141-149
Back Matter....Pages 150-172
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