An MRF Model-Based Approach to Simultaneous Recovery of Depth and Restoration from Defocused Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth from Defocus vs. Stereo: How Different Really Are They?
International Journal of Computer Vision - Special issue on computer vision research at the Technion
Generalized Mosaicing: High Dynamic Range in a Wide Field of View
International Journal of Computer Vision
A Geometric Approach to Shape from Defocus
IEEE Transactions on Pattern Analysis and Machine Intelligence
On defocus, diffusion and depth estimation
Pattern Recognition Letters
Iterative feedback estimation of depth and radiance from defocused images
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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The recovery of depth from defocus involves calculating the depth of various points in a scene by modeling the effect that the focal parameters of the camera have on images acquired with a small depth of field. We propose a method that, instead of analyzing an image region in isolation, uses a block shift-variant interactive blur model to account for the interaction among neighboring subimages. Simulation results are presented on the performance of the model.