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.
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