Segmentation and estimation of spatially varying illumination
In this paper, we present an unsupervised method for segmenting the illuminant regions and estimating the illumination power spectrum from a single image of a scene lit by multiple light sources. Here, illuminant region segmentation is cast as a probabilistic clustering problem in the image spectral radiance space. We formulate the problem in an optimization setting, which aims to maximize the likelihood of the image radiance with respect to a mixture model while enforcing a spatial smoothness...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Image Processing|
|01_Gu_Segmentation_and_estimation_of_2014.pdf||3.43 MB||Adobe PDF||Request a copy|
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