期刊文献+

融合肤色分割与KL变换的人脸特征检测方法研究

On the human facial features' testing method combining complexion partition and KL transformation
原文传递
导出
摘要 通过肤色分割将人脸和背景分离后,进行归一化和灰度化,利用KL变换和人眼的自然约束在肤色图上找到所有候选眼睛的瞳孔,然后根据每对瞳孔的位置分割出候选眼部,从而确定眼睛的位置. After the human face is separated from its background through complexion partition,the unifying and graying process can be carried out.By making use of KL transformation and the natuakal restriction of human eyes,several pupils can be found on the complexion graph.Then according to the position of each pair of pupils,the eye part can appear and the position of the eyes can be located.
出处 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2007年第S2期183-185,共3页 Journal of Yunnan University(Natural Sciences Edition)
关键词 肤色分割 KL变换 特征眼 特征检测 complexion partition KL transformation featured eyes feature testing
  • 相关文献

参考文献3

二级参考文献29

  • 1Chellappa R, Wilson CL, Sirohey S. Human and machine recognition of faces: A survey. Proc. of the IEEE, 1995,83(5):705-741.
  • 2Zhao WY, Chellappa R, Phillips PJ, Rosenfeld A. Face recognition: A literature survey. ACM Computing Surveys (CSUR), 2003,35(4):399-458.
  • 3Cootes TF, Taylor CJ, Cooper D, Graham J. Active shape models-their training and applications. Computer Vision and Image Understanding, 1995,61(1):38-59.
  • 4Cootes TF, Edwards GJ, Taylor CJ. Active appearance models. In: Proc. of the European Conf. of Computer Vision. London:Springer-Verlag, 1998,2:484-498.
  • 5Cootes TF, Wheeler GV, Walker KN, Taylor CJ. View-Based active appearance models. In: Proc. of the 4th IEEE Int'l Conf. on Automatic Face and Gesture Recognition. Washington: IEEE Computer Society, 2000. 227-238.
  • 6Li SZ, Yan SC, Zhang HJ, Cheng QS. Multi-View face alignment using direct appearance models. In: Proc. of the Conf. on Automatic Face and Gesture Recognition. Washington: IEEE Computer Society, 2002. 324-329.
  • 7Yan SC, Liu C, Li SZ, Zhang HJ, Shum HY, Cheng QS. Face alignment using texture-constrained active shape models. Image and Vision Computing, 2003,21(1):69-75.
  • 8Zhou Y, Gu L, Zhang HJ. Bayesian tangent shape model estimating shape and pose parameters via Bayesian inference. In: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition. Wisconsin, 2003. 16-22.
  • 9Beymer D, Poggio T. Face recognition from one example view. In: Proc. of the 5th Int'l Conf. on Computer Vision. Massachusetts:IEEE Computer Society, 1995. 500-507.
  • 10Beymer D. Vectorizing face images by interleaving shape and texture computation. Technical Report AIM-1536, MA: MIT Artificial Intelligence Laboratory, 1995.

共引文献25

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