3-D Shape Estimation and Image Restoration
Exploiting Defocus and Motion-Blur

In the areas of image processing and computer vision, there is a particular need for software that can infer the three-dimensional shape of a scene. This book describes the analytical processes that go into designing such software. It also presents original algorithms.

In the areas of image processing and computer vision, there is a particular need for software that can, given an unfocused or motion-blurred image, infer the three-dimensional shape of a scene. This book describes the analytical processes that go into designing such software, delineates the options open to programmers, and presents original algorithms. Written for readers with interests in image processing and computer vision and with backgrounds in engineering, science or mathematics, this highly practical text/reference is accessible to advanced students or those with a degree that includes basic linear algebra and calculus courses.

Visual Cues for Shape and Motion.- Basic Models of Image Formation.- When Can 3D Shape Be Reconstructed from Blurred Images?- A First Solution: Least-Squares.- Enforcing Positivity.- Defocus via Diffusion: Modeling and Reconstruction from Two Views.- Shape from the Defocus of Multiple Images.- Modeling Motion-Blur and Defocus via Diffusion.- Dealing with Occlusions.- Conclusions and Open Issues.- Appendixes: Concepts of Radiometry.- A PDE Primer.- Proofs of Propositions.- Calibration of Defocused Images.- Matlab Implementation of Some Algorithms.- Index.