Depth From Defocus: A Real Aperture Imaging Approach
By: by Subhasis Chaudhuri, A.N. Rajagopalan
Contributors: Rajagopalan, A. N.
Publisher: Springer New York; Imprint; Springer
Published: 1999
Place of publication: New York, NY
Language: eng
Format: [electronic resource] /
Number of pages: 172
ISBN-13: 9781461214908
Description: 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.
Table of contents: title: Passive Methods for Depth Recovery; title: Depth Recovery from Defocused Images; title: Mathematical Background; title: Depth Recovery with a Block Shift-Variant Blur Model; title: Space-Variant Filtering Models for Recovering Depth; title: An ML Estimator of Depth and Optimal Camera Settings; title: Recursive Computation of Depth from Multiple Images; title: MRF Model-Based Identification of Shift-Variant PSF; title: Simultaneous Recovery of Depth and Image Restoration; title: Conclusions.