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ThesisDraft3_Xiaojing.pdf (471.91 KB)
ETD Abstract Container
Abstract Header
Face Recognition with Shape Features
Author Info
Xu, Xiaojing
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1429630097
Abstract Details
Year and Degree
2015, Master of Science, Ohio State University, Electrical and Computer Engineering.
Abstract
Face recognition has become more significant in recent years. Facial landmarks, on the other hand, have been proven to be useful in related fields such as face recognition and facial expression analysis. In this paper, we propose a method to identify frontal view faces using facial landmarks, and show that it is robust to 2D rotation, change of scale and change of position. We propose a face descriptor revealing the shape features, the Euclidean distance between landmarks and their mean. We evaluate the effectiveness of the representation by using it to perform face classification on our emotion dataset. We fit a multivariate normal distribution for each identity and construct a Naive Bayes Classifier for classification. We show that our method performs well with a small classification error.
Committee
Aleix Martinez (Advisor)
Aleix Martinez (Committee Member)
Pages
14 p.
Subject Headings
Computer Science
;
Electrical Engineering
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Citations
Xu, X. (2015).
Face Recognition with Shape Features
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429630097
APA Style (7th edition)
Xu, Xiaojing.
Face Recognition with Shape Features.
2015. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1429630097.
MLA Style (8th edition)
Xu, Xiaojing. "Face Recognition with Shape Features." Master's thesis, Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429630097
Chicago Manual of Style (17th edition)
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Document number:
osu1429630097
Download Count:
1,960
Copyright Info
© 2015, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.