Since the images of a human face lie in a complex subset of the image space that is unlikely to be modeled by a single linear subspace , we use a mixture of linear subspaces to model the distribution efface and non - face patterns . in the other words , we used fisher linear discriminator to project samples from a height dimensional image space to a lower dimensional feature space 对于背景复杂的人脸图象的检测,使用单个线性线性子空间很难准确地区分出人脸和非人脸模式,因此,本文使用混合线性子空间对人脸和非人脸样本的分布进行建模,在利用自组织映射神经网络标识人脸和非人脸样本的基础上构建一个fisher人脸检测器。