IEEE Trans Image Process - Efficient estimation of reflectance parameters from imaging spectroscopy.

Tópicos

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Resumo

In this paper, we address the problem of efficiently recovering reflectance parameters from a single multispectral or hyperspectral image. To do so, we propose a shapelet based estimator that employs shapelets to recover the shading in the image. The optimization setting presented is based upon a three-step process. The first of these concerns the recovery of the surface reflectance and the specular coefficients through a constrained optimization approach. Second, we update the illuminant power spectrum using a simple least-squares formulation. Third, the shading is computed directly once the updated illuminant power spectrum is obtained. This yields a computationally efficient method that achieves speed-ups of nearly an order of magnitude over its closest alternative without compromising performance. We provide results on illuminant power spectrum computation, shading recovery, skin recognition and replacement of the scene illuminant, and object reflectance in real-world images.

Resumo Limpo

paper address problem effici recov reflect paramet singl multispectr hyperspectr imag propos shapelet base estim employ shapelet recov shade imag optim set present base upon threestep process first concern recoveri surfac reflect specular coeffici constrain optim approach second updat illumin power spectrum use simpl leastsquar formul third shade comput direct updat illumin power spectrum obtain yield comput effici method achiev speedup near order magnitud closest altern without compromis perform provid result illumin power spectrum comput shade recoveri skin recognit replac scene illumin object reflect realworld imag

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