Estimating Reflectance Parameters of an Object from Saturated Spectral Images
Estimating Reflectance Parameters of an Object from Saturated Spectral Images
复制标题
从饱和光谱图像估计物体的反射率参数
DOI:
10.1109/cgiv.2006.40
复制
发表时间:
2006
期刊:
影响因子:
--
通讯作者:
K. Chihara
中科院分区:
文献类型:
--
作者:
Shiying Li;Y. Manabe;K. Chihara
A method is described to reproduce reflection properties at the surface of real objects using spectral images, which are often saturated because of the limited dynamic range of image detectors. Reflection components are separated into diffuse and specular reflection components based on the dichromatic model at 5-nm wavelength intervals between 380 nm and 780 nm for each pixel of the spectral images, and diffuse reflectance parameters are estimated during the separation. To estimate specular reflectance parameters, the Gaussian distribution function of the Torrance-Sparrow reflection model is transformed logarithmically to a linear form, and the unsaturated values of the specular reflection components are subjected to the least squares method. Experimental results with a real object demonstrate the efficiency of the proposed method
DOI:
--
发表时间:
2009
期刊:
Computer Vision and Image Understanding Vol.113, Number2
影响因子:
--
作者:
Shiying Li;Yoshitsugu Manabe
通讯作者:
Yoshitsugu Manabe
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
鈴木直樹;服部麻木;大滝正子;西和彦
通讯作者:
西和彦