3-D Shape Estimation and Image Restoration
Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer three-dimensional information. This useful volume concentrates on motion blur and defocus, which can be exploited to infer the 3-D structure of a scene — as well as its radiance properties — and which in turn can be used to generate novel images with better quality. The book presents a coherent analytical framework for the analysis and design of algorithms to estimate 3-D shape from defocused and motion blurred images, and to eliminate defocus and motion blur to yield "restored" images. It further provides a collection of algorithms that are optimal with respect to the chosen model and estimation criterion.
| Autor: | Favaro, Paolo Soatto, Stefano |
|---|---|
| ISBN: | 9781846281761 |
| Sprache: | Englisch |
| Seitenzahl: | 249 |
| Produktart: | Gebunden |
| Verlag: | Springer London |
| Veröffentlicht: | 29.12.2006 |
| Untertitel: | Exploiting Defocus and Motion-Blur |
| Schlagworte: | 3D 3D Modeling 3D Reconstruction 3D Shape Estimation Computer Graphics Computer Vision Confocal Imaging Deblurring Defocus Image Restoration |