计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
19期
187-191
,共5页
人脸识别%支持向量机%亮度补偿%图像增强
人臉識彆%支持嚮量機%亮度補償%圖像增彊
인검식별%지지향량궤%량도보상%도상증강
face recognition%support vector machine%illumination compensation%image enhancement
为了提高光照条件下的人脸识别正确率，提出一种复杂光照条件下的人脸预处理算法。对人脸图像进行局部增强处理，用双边滤波对图像亮度进行估计，采用Gamma校正补偿图像亮度估计产生的损失，将反射分量与亮度估计结果融合获得效果更优的人脸图像，并用K近邻算法建立分类器对人脸进行识别。在Yale、PIE和AR人脸库仿真结果表明，该算法提高了光照条件下的人脸识别正确率，其性能优于当前典型人脸识别算法。
為瞭提高光照條件下的人臉識彆正確率，提齣一種複雜光照條件下的人臉預處理算法。對人臉圖像進行跼部增彊處理，用雙邊濾波對圖像亮度進行估計，採用Gamma校正補償圖像亮度估計產生的損失，將反射分量與亮度估計結果融閤穫得效果更優的人臉圖像，併用K近鄰算法建立分類器對人臉進行識彆。在Yale、PIE和AR人臉庫倣真結果錶明，該算法提高瞭光照條件下的人臉識彆正確率，其性能優于噹前典型人臉識彆算法。
위료제고광조조건하적인검식별정학솔，제출일충복잡광조조건하적인검예처리산법。대인검도상진행국부증강처리，용쌍변려파대도상량도진행고계，채용Gamma교정보상도상량도고계산생적손실，장반사분량여량도고계결과융합획득효과경우적인검도상，병용K근린산법건립분류기대인검진행식별。재Yale、PIE화AR인검고방진결과표명，해산법제고료광조조건하적인검식별정학솔，기성능우우당전전형인검식별산법。
In order to improve the face recognition rate in illumination conditions, this paper proposes a face preprocessing algorithm in complex illumination conditions. The illumination face image is enhanced by nonlinear method, and then bilat-eral filtering is used to estimate the influence of illumination, and the loss of estimation is compensated by Gamma method. The estimation results are fused to improve the effect of face image, and face classifier is established based on K near algo-rithm. The results of Yale, PIE and AR face database show that the proposed method has improved face recognition rate in complex illumination conditions compared with other methods.
