A Method Combining Hough Transformation with ASM to Locate Pupil Landmarks
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The problem of landmark location is one of the key technologies of machine vision and pattern recognition. Active shape models(ASM) is a traditional method of landmark location, which has high degree of accuracy and robustness in some case. To improve the pupil landmarks accuracy of face image, we propose a method which combines Hough Transformation with ASM. The positions of the pupil are initialized by ASM algorithm, and Sobel operator is used in edge detection and Hough circle detection around the eye position. Through these steps, it can calculate the offset of initial position. The experiments on the face image which were captured in our laboratory room show this method can obviously improve the accuracy of the pupil landmarks. With the limit of Initialization the positions, computation is reduced with our control.

    Reference
    Related
    Cited by
Get Citation

王德朋,娄震.一种融合Hough变换和ASM定位瞳孔中心点方法.计算机系统应用,2016,25(3):182-186

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 30,2015
  • Revised:September 08,2015
  • Adopted:
  • Online: March 17,2016
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063