文件列表:

webcode (0, 2006-09-03)
webcode\.DS_Store (6148, 2006-09-03)
__MACOSX (0, 2006-09-28)
__MACOSX\webcode (0, 2006-09-28)
__MACOSX\webcode\._.DS_Store (82, 2006-09-03)
webcode\DataSet.mat (614640, 2002-10-29)
webcode\defocusApprox.m (6860, 2006-09-28)
__MACOSX\webcode\._defocusApprox.m (82, 2006-09-28)
webcode\defocusUnif.m (2047, 2006-05-31)
webcode\iDivergence.m (11430, 2006-09-28)
__MACOSX\webcode\._iDivergence.m (82, 2006-09-28)
webcode\initialize.m (2877, 2006-05-31)
webcode\laplacian.m (1556, 2006-08-16)
__MACOSX\webcode\._laplacian.m (82, 2006-08-16)

IMPLEMENTATION OF THE I-DIVERGENCE APPROACH TO SHAPE FROM DEFOCUS Paolo Favaro p.favaro@hw.ac.uk This is a Matlab implementation of the I-divergence approach to shape from defocus [1, Chapter 5]. The algorithm is broken down into several M files, which can be used in isolation or replaced. The source code is available as is and only for research purposes (see comments at the beginning of each file). To test the software, run iDivergence.m in a Matlab console window and then follow the instructions. Any publication or software using this code must acknowledge the reference below and the website http://www.eps.hw.ac.uk/~pf21 REFERENCES [1] Paolo Favaro and Stefano Soatto, "3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur", Springer-Verlag, 2006.

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