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电子学报  2015 

主方向旋转LBP特征的平面旋转人脸检测

DOI: 10.3969/j.issn.0372-2112.2015.01.031, PP. 198-202

Keywords: 计算机应用,LBP,Adaboost,人脸检测,人脸扶正

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Abstract:

提出了主方向旋转LBP特征,对图像中的平面旋转人脸特征进行描述.以任意邻域LBP特征为基础,加入旋转角度偏移值构成旋转LBP特征,通过Adaboost算法训练出旋转人脸分类器,应用旋转人脸分类器检测图像中可能包含旋转人脸的区域,并对结果进行验证.为了提高扶正精度,在旋转LBP特征的基础上加入主方向值,并提出旋转LBP特征的主方向计算方法,有效的提高了扶正精度.经实验证明,新方法能够以较快速度检测所有角度的平面旋转人脸,正确检测率为94%,角度误差在6度以下.满足平面旋转人脸检测系统对全部角度检测、高检测率、低扶正误差的要求.

References

[1]  Li Stan Z,Zhang Zhen-qiu.Floatboost learning and statistical face detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(9):1112-1123.
[2]  吴暾华,周昌乐.平面旋转人脸检测与特征定位方法研究[J].电子学报,2007,35(9): 1714-1718. WU Tun-hua,ZHOU Chang-le.Study onface detection under rotation in image plane and facial features localization[J].Acta Electronica Sinica,2007,35(9):1714-1718.(in Chinese)
[3]  孙圣鹏,宋明黎,卜佳俊,陈纯.鼻子区域检测与三维人脸姿态自动化校正[J].计算机辅助设计与图形学学报,2013,25(1): 34-41. Sun Shengpeng,Song Mingli,Bu Jiajun,Chen Chun.Automaticpose correction for 3D face based on nose detection[J].Journal of Computer-Aided Design & Computer Graphics,2013,25(1):34-41.(in Chinese)
[4]  李根,李文辉.基于尺度不变特征变换的平面旋转人脸检测[J].吉林大学学报(工学版),2013,43(1): 186-191. LI Gen,LI Wen-hui.Face detection under rotation in image plane based on scale invariant feature transform[J].Journal of Jilin University (Engineering and Technology Edition),2013,43(1):186-191.(in Chinese)
[5]  朱齐丹,李科,蔡成涛,等.采用改进的尺度不变特征变换算法计算物体旋转角度[J].光学精密工程,2011,18(7): 1669-1676. ZHU Qi-dan,LI Ke,Cai Cheng-tao,et al.Calculation of object rotation angle by improved SIFT[J].Optics and Precision Engineering,2011,18(7):1669-1676.(in Chinese)
[6]  Ojala T,Pietikainen M,Maenpaa M.Multiresolution gray-scale and rotation invariant texture classification width local binary patterns[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.
[7]  付忠良.关于AdaBoost有效性的分析[J].计算机研究与发展,2008,45(10): 1747-1755. Fu Zhongliang.Effectiveness analysis of Adaboost[J].Journal of Computer Research and Development,2008,45(10):1747-1755.(in Chinese)
[8]  Jones M,Viola P.Fast multi-view face detection[R].Technical Report TR2003-96,Mitsubishi Electric Research Laboratories,2003.
[9]  Ojala T,Pietikainen M,Harwood D.A comparative study of texture measures with classification based on feature distributions[J].Pattern Recognition,1996,29(1):51-59.
[10]  Tan Xiao-yang,Triggs Bill.Enhanced local texture feature sets for face recognition under difficult lighting conditions[A].IEEE International Workshop on Analysis and Modeling of Faces and Gestures[C].Heidelberg,Berlin:IEEE,2007.168-182.
[11]  Tan Xiao-yang,Triggs Bill.Enhanced local texture feature sets for face recognition under difficult lighting conditions[J].IEEE Transactions on Image Processing,2010,19(6):1635-1650.

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