光照光谱功率分布的估计和颜色分割

Estimation of Spectral Power Distribution of Illumination and Color Classification

提出了应用有限维线性模型和双色反射模型抽取表示而物体颜色的本征特性的方法．首先估计出光照的光谱功率分布，再获取物体的表面光谱反射率，从而得到和光照与几何条件无关的归一化偏差光谱反射率．它仅反映物体的表面反射特性，可作为颜色分割和识别的可靠特征．

This paper presents a solution to recover intrinsic color features of objects for classification by using dichromatic reflection model and finite dimensional linear model for illumination and reflectance. At first the spectral power distribution of illumination is estimated. Subsequently, the surface spectral reflectance is derived with the help of the two models mentioned above. The normalized deviation spectral reflectance preserves only the contribution of body reflectance of the surface which is independent of illumination and geometric condition. Therefore, it can be used as the reliable feature for classifying color of the object. The experimental results and analysis about classification are shown in the paper.