Bayesian Nonparametric Intrinsic Image Decomposition-Reference-Cited by-同舟云学术

Bayesian Nonparametric Intrinsic Image Decomposition

Published:2014 Issue: Volume: Page:704-719
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2014
language:
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Author:

Chang Jason,Cabezas Randi,Fisher John W.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-10593-2_46

Reference22 articles.

1. Barron, J., Malik, J.: Shape, illumination, and reflectance from shading. Tech. rep. Univeristy of California, Berkeley (2013)

2. Barrow, H., Tenenbaum, J.: Recovering intrinsic scene characteristics from images. Computer Vision Systems (1978)

3. Blake, A.: Boundary conditions for lightness computation in Mondrian world. Computer Vision, Graphics, and Image Processing (1985)

4. Chang, J.: Sampling in Computer Vision and Bayesian Nonparametric Mixtures. Ph.D. thesis, Massachusetts Institute of Technology (2014)

5. Chang, J., Fisher III, J.W.: Parallel sampling of DP mixture models using sub-clusters splits. In: Neural Information and Processing Systems (December 2013)

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