Overview
- Describes analytical processes
- Delineates the options open to programmers
- Presents original algorithms
- Demonstrates a coherent analytical framework for the analysis and design of algorithms to estimate 3D shape from defocused and blurred images
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About this book
Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer thr- dimensional information. For instance, if the scene contains objects made with homogeneous material, such as marble, variations in image intensity can be - sociated with variations in shape, and hence the “shading” in the image can be exploited to infer the “shape” of the scene (shape from shading). Similarly, if the scene contains (statistically) regular structures, variations in image intensity can be used to infer shape (shape from textures). Shading, texture, cast shadows, - cluding boundaries are all “cues” that can be exploited to infer spatial properties of the scene from a single image, when the underlying assumptions are sat- ?ed. In addition, one can obtain spatial cues from multiple images of the same scene taken with changing conditions. For instance, changes in the image due to a moving light source are used in “photometric stereo,” changes in the image due to changes in the position of the cameras are used in “stereo,” “structure from motion,” and “motion blur. ” Finally, changes in the image due to changes in the geometry of the camera are used in “shape from defocus. ” In this book, we will concentrate on the latter two approaches, motion blur and defocus, which are referred to collectively as “accommodation cues.
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Reviews
"This book presents a framework for estimating three-dimensional (3D) shapes from defocused and motion-blurred images. The book systematically describes various problems involved in estimating 3D shapes, and provides solutions to these problems… The book is well-written, and is equipped with Matlab code that implements the estimators presented in the chapters… I recommend this book to engineers in image processing and computer vision. Readers will learn state-of-the-art methods for shape restoration." (Hsun-Hsien Chang, ACM Computing Reviews, Vol. 49 (9), September 2008)
Authors and Affiliations
Bibliographic Information
Book Title: 3-D Shape Estimation and Image Restoration
Book Subtitle: Exploiting Defocus and Motion-Blur
Authors: Paolo Favaro, Stefano Soatto
DOI: https://doi.org/10.1007/978-1-84628-688-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2007
Hardcover ISBN: 978-1-84628-176-1Published: 29 December 2006
Softcover ISBN: 978-1-84996-559-0Published: 18 February 2013
eBook ISBN: 978-1-84628-688-9Published: 12 March 2007
Edition Number: 1
Number of Pages: XIV, 249
Topics: Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Algorithms, Signal, Image and Speech Processing, Computer Graphics, Optics, Lasers, Photonics, Optical Devices