期刊文献+

基于图像的人脸检测方法综述 被引量:10

A survey of human face detection based on image
下载PDF
导出
摘要 人脸检测问题研究具有重大的使用价值和广阔的应用前景,被广泛应用于计算机视觉和人工智能等领域。本文首先对人脸检测研究现状进行系统全面的介绍,并将人脸检测方法进行详细分类;然后,对各种人脸检测方法的原理和算法进行分析,并对其优缺点进行比较,指出各种方法的适用范围;最后对目前人脸检测中存在的问题和下一步的研究方向进行讨论。 Research on face detection, as one of the important research area of computer vision and artificial intelligence, has great value in use and broad application prospects. In this paper, first, the status of face detection studies was introduced comprehensively,and the face detection methods were classified in detail. Next, after analyzing the principle and algorithm of human face detection methods, comparing their advantages and disadvantages. Finally, current face detection problems and future research directions were discussed.
作者 郑青碧
出处 《电子设计工程》 2014年第8期108-110,共3页 Electronic Design Engineering
基金 河南省科技厅科技基础研究项目(132300410395)
关键词 人脸检测 人脸识别 几何特征 肤色模型 统计理论 face detection face recognition geometric characteristics skin color model statistical theory
  • 相关文献

参考文献12

  • 1Butakoff C,Frangi A F. Multi-view face segmentation using fusion of statistical shape and appearance models [J]. Computer Vision and Image Understanding,2010,114 (3): 311-321.
  • 2Cootes T F,Walker K,Taylor C J. View-based active appearance models [C]//Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition. Grenoble, France: IEEE, 2000 : 227-232.
  • 3STEGMANN M B,ERSBOLL B K,LARSEN R. FAME--A flexible appearance modeling environmenl[J]. IEEE Transactions on Medical Imaging, 2003,22 (10): 1319-1331.
  • 4MATTHEWS I,BAKER Active appearance models revisited[J International Journal of Computer Vision,2004,60(2):135-164.
  • 5王丽婷,丁晓青,方驰.一种鲁棒的全自动人脸特征点定位方法[J].自动化学报,2009,35(1):9-16. 被引量:20
  • 6李见为,吴璇.基于视频的人脸检测和跟踪算法[D].重庆:重庆大学,2010.
  • 7郭延文,潘永娟,崔秀芬,彭群生.基于调和映射的约束纹理映射方法[J].计算机辅助设计与图形学学报,2005,17(7):1457-1462. 被引量:13
  • 8Lis Z. Learning multi-view face subspaces and facial pose estimation using independent component analysis[J]. IEEE Transaction on Image Process,2005,14(6):705-712.
  • 9Tian Y,Tan T,Wang Y. Do singular values contains adequate information for face recognition[J]. Pattern Recognition, 2003,36 (3) :649-655.
  • 10Kakumanu P,Bourbakis N. A survey of skin-color modeling and detection methods[J]. Pattern Recognition,2007 (40): 1106-1122.

二级参考文献30

  • 1彭群生,胡国飞.三角网格的参数化[J].计算机辅助设计与图形学学报,2004,16(6):731-739. 被引量:34
  • 2Zhang L, Ai H Z. Multi-view active shape model with robust parameter estimation. In: Proceedings of the 18th International Conference on Pattern Recognition. Hong Kong, China: IEEE, 2006. 469-472
  • 3Matthews I, Baker S. Active appearance models revisited. International Journal of Computer Vision, 2004, 60(2): 135-164
  • 4Yan S C, Liu C, Li S Z, Zhang H J, Shum H Y, Cheng Q S. Face alignment using texture-constrained active shape models. Image and Vision Computing, 2003, 21(1): 69-75
  • 5Ma Y, Ding X Q, Wang Z E, Wang N. Robust precise eye location under probabilistic framework. In: Proceedings of the 6th International Conference on Automatic Face and Gesture Recognition. Seoul, Korea: IEEE, 2004. 339-344
  • 6Breiman L. Random Forests and Random Features, Technical Report, University of California, Berkeley, 1999
  • 7Jiao F, Li S Z, Shum H Y, Schuurmans D. Face alignment using statistical models and wavelet features. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Wisconsin, USA: IEEE, 2003. 321-327
  • 8Liu X M. Generic face alignment using boosted appearance model. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, USA: IEEE, 2007. 1-8
  • 9Huang Y C, Liu Q S, Metaxas D. A component based deformable model for generalized face alignment. In: Proceedings of IEEE Conference on Computer Vision. Washington D. C., USA: IEEE, 2007. 1-8
  • 10Gee A H, Cipoll R. Determining the gaze of faces in images. Image and Vision Computing, 1994, 12(10): 639-647

共引文献30

同被引文献79

引证文献10

二级引证文献57

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部