TY - JOUR
T1 - Efficient estimation of reflectance parameters from imaging spectroscopy
AU - Gu, Lin
AU - Robles-Kelly, Antonio A.
AU - Zhou, Jun
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Multispectral and hyperspectral imaging
KW - inverse methods for imaging spectroscopy
KW - scene analysis
UR - http://www.scopus.com/inward/record.url?scp=84883348081&partnerID=8YFLogxK
U2 - 10.1109/TIP.2013.2268970
DO - 10.1109/TIP.2013.2268970
M3 - Article
SN - 1057-7149
VL - 22
SP - 3648
EP - 3663
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
IS - 9
M1 - 6532304
ER -