3-D Shape Estimation and Image Restoration
exploiting defocus and motion-blur
$203.01
- Hardcover
249 pages
- Release Date
29 December 2006
Summary
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 (statist…
Book Details
| ISBN-13: | 9781846281761 |
|---|---|
| ISBN-10: | 1846281768 |
| Author: | Paolo Favaro, Stefano Soatto |
| Publisher: | Springer London Ltd |
| Imprint: | Springer London Ltd |
| Format: | Hardcover |
| Number of Pages: | 249 |
| Edition: | 2007th |
| Release Date: | 29 December 2006 |
| Weight: | 565g |
| Dimensions: | 235mm x 155mm |
What They're Saying
Critics Review
“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)
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