Extract of facial feature points has become an
important issue in many applications, such as face recognition,
expression recognition, and face detection. A method of facial
feature extraction-based and corner detection is presented in this
paper. In this method develop a technique for extracting the
facial features from a color image captured by the online
webcam, under normal lighting condition; And saving the time
during the feature extracting by the goal of detecting the
features in different expression and orientations.
Published In : IJCAT Journal Volume 1, Issue 8
Date of Publication : 30 September 2014
Pages : 409 - 412
Figures :02
Tables : --
Publication Link : Real Time Facial Feature Point Extraction
Kusuma Kumari B.M : completed her M.C.A, M. Phil and pursuing
Ph. D from Tumkur University. Currently working as an Assistant
Professor at Tumkur University. 8 years of teaching experience and
attended and presented number of national and international
conferences and published 13 papers in international journals.
Interested in image processing, pattern recognition etc.
In this paper, it’s been tried to review the works done in
facial feature extraction, and proposed the geometry based
technique by the corner detection for extracting the facial
feature points and also present the preprocessing approach.
The experiment result shows the system can works in the
different orientation and expression. In the future I will
improve the detection by the higher accuracy and also it
will be work in the real-time video.
[1] R. Lienhart, A. Kuranov and Vadim Pisarevsky.
“Empirical Analysis of Detection Cascades of Boosted
Classifiers for Rapid Object Detection”.
[2] OpenCV Documentation. “Rapid Object Detection with
a Cascade of Boosted Classifiers Based on Haar-like
Features”.
[3] Asian Institute of Technology, Computer Vision Wiki.
“Haar Training for Pedestrian
[4] T. Kanade, Computer Recognition of Human faces
Basel and Stuttgart: Birkhauser, 1997.
[5] A. Yuille, D. Cohen, and P. Hallinan, “Facial feature
extraction from faces using deformable templates”,
Proc. IEEE Computer Soc. Conf. On Computer Vision
and Pattern Recognition, pp. 104-109, 1989.
[6] T.C. Chang, T.S. Huang, and C. Novak, “Facial feature
extraction from colour images”, Proceedings of the 12th
IAPR International Conference on Pattern Recognition,
vol. 2, pp. 39-43, Oct 1994.
[7] Y. Tian, T. Kanade, and J.F. Cohn, “Evaluation of
Gaborwavelet- based facial action unit recognition in
image sequences of increasing complexity”,
Proceedings of the Fifth IEEE International Conference
on Automatic Face and Gesture Recognition, pp. 218 –
223, May 2002.
