计算机科学 ›› 2014, Vol. 41 ›› Issue (7): 301-305.doi: 10.11896/j.issn.1002-137X.2014.07.062
严明君,项俊,罗艳,侯建华
YAN Ming-jun,XIANG Jun,LUO Yan and HOU Jian-hua
摘要： 为实现复杂场景中的人脸检测与定位,提出了一种基于快速鲁棒特征SURF与Hough森林的人脸检测算法。采用SURF局部特征构建Hough森林分类器,每个叶子节点存储类别信息与特征点到达目标中心的偏移量,在图像局部外观与Hough投票之间建立映射关系,生成有监督的判别式的码本,获得可靠的概率Hough投票,以此预测目标中心位置,提高了检测精度。与此同时,采用SURF局部特征提取图像兴趣点有助于减小计算量、加快检测速度。实验证明了所提算法的有效性。
| [1] Yang D W,Chen C W,Chang C H,et al．Face detection architecture design using hybrid skin color detection and cascade of classifiers[C]∥2012IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)． Taipei:IEEE,2012:543-546 [2] Yang M H,Kriegman D,Ahuja N．Detecting faces in images:A survey[J]．IEEE Trans．Pattern Analysis and Machine Intelligence,2002,24:34-58 [3] Zhu X,Ramanan D．Face detection,pose estimation,and landmark localization in the wild[C]∥Computer Vision and Pattern Recognition,2012IEEE Conference on Providence．RI USA:IEEE,2012:2879-2886 [4] Becker C,Rigamonti R,Lepetit V,et al．KernelBoost:SupervisedLearning of Image Features For Classification[R]．Lausanne,Swiss:EPFL,2013 [5] Lowe D．Distinctive image features from scale-invariant keypoint[J]．International Journal of Computer Vision,2004,60(2):91-110 [6] Mikolajczyk K,Schmid C．A performance evaluation of local de-scriptors[J]．IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(10):1615-1630 [7] Ke Y,Sukthankar R．PCA-SIFT:a more distinctive representation for local image descriptors[C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition．Wa-shington D C,USA:IEEE,2004:506-513 [8] Bay H,Ess A,Tuytelaars T．SURF:Speeded up robust features[J]．Computer Vision and Image Understanding,2008,100(3):346-359 [9] Fergus R,Perona P,Zisserman A．Weakly supervised scale-invariant learning of models for visual recognition[J]．Interna-tional Journal of Computer Vision,2008,71(3):273-303 [10] Leibe B,Leonardis A,Schiele B．Robust object detection with interleaved categorization and segmentation[J].International Journal of Computer Vision,2008,77(1-3):259-289 [11] Bosch A,Zisserman A,Muoz X．Image classification using random forests and ferns[C]∥IEEE 11th International Conference on Computer Vision,2007(ICCV 2007)．Rio de Janeiro,Brazil,IEEE,2007:1-8 [12] Borenstein E,Ullman S．Class-specific,top-down segmen-tation[C]∥the 7th European Conference on Computer Vision．Copenhagen,Denmark,ECCV,2002:109-122 [13] Hinterstoisser S,Cagniart C,Ilic S,et al．Gradient responsemaps for real-time detection of textureless objects[J]．IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(5):876-888 [14] Breiman L．Random Forest[J]．Machine Learning,2001,45(1):5-32 [15] Rodriguez-Galiano V F,Ghimire B,Rogan J,et al．An assess-ment of the effectiveness of a random forest classifier for land-cover classification[J]．ISPRS Journal of Photogrammetry and Remote Sensing,2012,67:93-104 [16] Gall J,Lempitsky V．Class-specific hough forests for object detection[C]∥IEEE Conference on Computer Vision and Pattern Recognition．Miami,FL,USA,CVPR,2009:1022-1029 [17] Dalal N,Triggs B．Histograms of oriented gradients for human detection[C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition．San Diego,CVPR,2005,1:886-893 [18] Opelt A,Pinz A,Zisserman A．Learning an alphabet of shape and appearance for multi-class object detection [J]．IJCV,2008,80(1):16-44 [19] 陈艺虾,孙权森,徐焕宇,等．SURF算法和RANSAC算法相结合的遥感图像匹配方法[J].计算机科学,2012,6(9):822-828 [20] Viola P,Jones M．Rapid object detection using a boosted cascade of simple features[C]∥IEEE Conference on Computer Vision and Pattern Recognition．Kauai Hawaii USA,IEEE Computer Society,2001:511-518 [21] Mikolajczyk K,Schmid C．Indexing based on scale invariant interest points[C]∥IEEE 8th International Conference on Computer Vision,2001(ICCV 2001).Vancouver,BC,Canada:IEEE,2001,1:525-531 [22] Simard Y,Bottou L,Haffner P,et al．Boxlets:a fast convolution algorithm for signal processing and neural networks[J]．Advances in Neural Information Processing Systems,1999:571-577 [23] Brown M,Lowe D．Invariant features from interest point groups[C]∥British Machine Vision Conference．Cardiff,Wales,BMVC,2002:20-28 [24] Liu H,Cui W,Ding R．Robust Hand Tracking with Hough Forest and Multicue Flocks of Features[C]∥the 8th International Symposium on Visual Computing 2012(ISVC)．Rethymnon,Crete,Greece,2012:458-467 |
| No related articles found! |
|
||
首页