彩色图像人脸高光区域的自动检测与校正方法

人脸检测和识别受不同环境照明的影响很大,彩色图像中人脸高光区域的自动检测和辐射校正有助于对人脸的正确分析和识别.提出了一种在TSL(tint-saturation-luminance)彩色空间基于双色反射模型进行高光检测和辐射校正的新方法.通过考察肤色在各种不同彩色空间中的分布形态,以及对皮肤光谱反射特性的分析,采用关键的2维平面代替3维彩色空间进行高光分析.一方面降低了算法复杂度,另一方面又可以在序贯主分量分析中提出特征值比值,迅速而准确地自动检测是否有皮肤高光区域的存在,同时还可以鲁棒地确定皮肤双色反射矢量,应用双色反射模型进行肤色高光区域的辐射校正.

A Method for Automatic Detection and Correction of Highlighted Area in Color Face Image

Different environment illumination has a great impact on face detection and recognition. The automatic detection and radiation correction of a highlighted face area is helpful to analyze and identify human faces correctly in a color image. In this paper, a novel approach is presented based on a dichromatic reflection model to detect and correct highlighted skin pixels in the TSL(tint-saturation-luminance) color space. After inspecting the distribution configuration of skin pixels in various color spaces and the spectrum reflection features of human skin, the authors carry out the highlighted are a analysis on a critical two-dimensional plane instead of in a three-dimensional color space, which brings forth certain advantages: computation complexity is deduced, rates between eigenvalues are produced in stepwise PCA to detect automatically the existence of highlighted skin and estimate robustly the skin dichromatic reflection vectors. The highlighted skin regions are compensated based on the dichromatic reflection model.