电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2012年
24期
178-180
,共3页
人脸识别%Fisher判别法%小样本问题%样本分类
人臉識彆%Fisher判彆法%小樣本問題%樣本分類
인검식별%Fisher판별법%소양본문제%양본분류
face recognition%Fisher discriminant analysis%small sample size problem%sample classification
人脸特征是最自然直接的生物特征，它具有直接、友好、方便的特点，易于为用户接受。人脸识别由于其在监控、罪犯识别、人机交互等方面广泛潜在的应用，已成为图像处理、模式识别和计算机视觉等学科最活跃的研究领域。线性鉴别分析是特征抽取中最为经典和广泛使用的方法之一。近年来，在小样本情况下如何抽取Fisher最优鉴别特征一直是许多研究者关心的问题。文中阐述了应用Fisher判别法在人脸图像样本分类方面的运用。在标准数据库ORL人脸库和Yale人脸数据库上仿真的试验结果证实了方法的有效性和稳定性。
人臉特徵是最自然直接的生物特徵，它具有直接、友好、方便的特點，易于為用戶接受。人臉識彆由于其在鑑控、罪犯識彆、人機交互等方麵廣汎潛在的應用，已成為圖像處理、模式識彆和計算機視覺等學科最活躍的研究領域。線性鑒彆分析是特徵抽取中最為經典和廣汎使用的方法之一。近年來，在小樣本情況下如何抽取Fisher最優鑒彆特徵一直是許多研究者關心的問題。文中闡述瞭應用Fisher判彆法在人臉圖像樣本分類方麵的運用。在標準數據庫ORL人臉庫和Yale人臉數據庫上倣真的試驗結果證實瞭方法的有效性和穩定性。
인검특정시최자연직접적생물특정，타구유직접、우호、방편적특점，역우위용호접수。인검식별유우기재감공、죄범식별、인궤교호등방면엄범잠재적응용，이성위도상처리、모식식별화계산궤시각등학과최활약적연구영역。선성감별분석시특정추취중최위경전화엄범사용적방법지일。근년래，재소양본정황하여하추취Fisher최우감별특정일직시허다연구자관심적문제。문중천술료응용Fisher판별법재인검도상양본분류방면적운용。재표준수거고ORL인검고화Yale인검수거고상방진적시험결과증실료방법적유효성화은정성。
Compared to other biological characteristics by using the characteristics of human face is the most natural and direct mean, as it has straightforward, friendly, convenient features, and easy for users to accept. Due to Face recognition's potential and wide range of applications in control, criminal identification, and human-computer interaction, it has became the most active area of research in the image processing, pattern recognition, computer vision and other subjects. In recent years, how to extract Fisher optimal features in the situation of small samples has been a concern of many researchers.This paper highlighted the application of Fisher discrimination method in the use of face image samples classification. Experimental results on ORL face database and Yale database show that the proposed method is efficient and robust.
