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

• Main Authors: Favaro, Paolo (Author), Soatto, Stefano (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2007.
• Subjects: Computer science.; Computer graphics.; Image processing.; Algorithms.; Optics.; Optoelectronics.; Plasmons (Physics).; Computer Science.; Image Processing and Computer Vision.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Signal, Image and Speech Processing.; Computer Graphics.; Optics, Optoelectronics, Plasmonics and Optical Devices.

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 scen...

Table of Contents:

• 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.