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Photometric Stereo Using Constrained Bivariate Regression for General Isotropic Surfaces
Found in: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Satoshi Ikehata,Kiyoharu Aizawa
Issue Date:June 2014
pp. 2187-2194
This paper presents a photometric stereo method that is purely pixelwise and handles general isotropic surfaces in a stable manner. Following the recently proposed sum-of-lobes representation of the isotropic reflectance function, we constructed a constrai...
 
Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Satoshi Ikehata,David Wipf,Yasuyuki Matsushita,Kiyoharu Aizawa
Issue Date:September 2014
pp. 1816-1831
Most conventional algorithms for non-Lambertian photometric stereo can be partitioned into two categories. The first category is built upon stable outlier rejection techniques while assuming a dense Lambertian structure for the inliers, and thus performanc...
 
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