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 對(duì)于背景復(fù)雜的人臉圖象的檢測(cè),使用單個(gè)線性線性子空間很難準(zhǔn)確地區(qū)分出人臉和非人臉模式,因此,本文使用混合線性子空間對(duì)人臉和非人臉樣本的分布進(jìn)行建模,在利用自組織映射神經(jīng)網(wǎng)絡(luò)標(biāo)識(shí)人臉和非人臉樣本的基礎(chǔ)上構(gòu)建一個(gè)fisher人臉檢測(cè)器。