
3-D Shape Estimation and Image Restoration
Exploiting Defocus and Motion-Blur
Springer (Publisher)
Published on 29. December 2006
Book
Hardback
XIV, 249 pages
978-1-84628-176-1 (ISBN)
Description
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.
Reviews / Votes
"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)
More details
Edition
2007 ed.
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Graduate students in Programming; researchers in Computer Vision and Image Processing
Illustrations
XIV, 249 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 20 mm
Weight
565 gr
ISBN-13
978-1-84628-176-1 (9781846281761)
DOI
10.1007/978-1-84628-688-9
Schweitzer Classification
Other editions
Additional editions

Paolo Favaro | Stefano Soatto
3-D Shape Estimation and Image Restoration
Exploiting Defocus and Motion-Blur
Book
02/2013
Springer
€53.45
Shipment within 15-20 days

Paolo Favaro | Stefano Soatto
3-D Shape Estimation and Image Restoration
Exploiting Defocus and Motion-Blur
E-Book
03/2007
1st Edition
Springer
€50.28
Available for download
Content
Basic models of image formation.- Some analysis: When can 3-D shape be reconstructed from blurred images?.- Least-squares shape from defocus.- Enforcing positivity: Shape from defocus and image restoration by minimizing I-divergence.- Defocus via diffusion: Modeling and reconstruction.- Dealing with motion: Unifying defocus and motion blur.- Dealing with multiple moving objects.- Dealing with occlusions.- Final remarks.