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

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