Investigating the use of SIFT for facial expression recognition
Scale Invariant Feature Transform (SIFT) proposed by David Lowe has been widely and successfully applied to object recognition. However, in recent decades researchers have paid more attention to face study, such as face recognition and facial expression recognition. This paper illustrates an investi...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/53207 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-53207 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-532072023-07-04T15:34:03Z Investigating the use of SIFT for facial expression recognition Zhong, Nan. Sung, Eric School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Scale Invariant Feature Transform (SIFT) proposed by David Lowe has been widely and successfully applied to object recognition. However, in recent decades researchers have paid more attention to face study, such as face recognition and facial expression recognition. This paper illustrates an investigation of applying SIFT to facial expression recognition. In this article, a standard smile process is set as the study object. After some basic analysis, the key-point locations which are most related to smile process have been proposed. After analyzing the SIFT key-points located along the concerned regions the movements of muscles can be illustrated. Master of Science 2013-05-30T07:53:18Z 2013-05-30T07:53:18Z 2012 2012 Thesis http://hdl.handle.net/10356/53207 en 69 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
| spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Zhong, Nan. Investigating the use of SIFT for facial expression recognition |
| description |
Scale Invariant Feature Transform (SIFT) proposed by David Lowe has been widely and successfully applied to object recognition. However, in recent decades researchers have paid more attention to face study, such as face recognition and facial expression recognition. This paper illustrates an investigation of applying SIFT to facial expression recognition. In this article, a standard smile process is set as the study object. After some basic analysis, the key-point locations which are most related to smile process have been proposed. After analyzing the SIFT key-points located along the concerned regions the movements of muscles can be illustrated. |
| author2 |
Sung, Eric |
| author_facet |
Sung, Eric Zhong, Nan. |
| format |
Theses and Dissertations |
| author |
Zhong, Nan. |
| author_sort |
Zhong, Nan. |
| title |
Investigating the use of SIFT for facial expression recognition |
| title_short |
Investigating the use of SIFT for facial expression recognition |
| title_full |
Investigating the use of SIFT for facial expression recognition |
| title_fullStr |
Investigating the use of SIFT for facial expression recognition |
| title_full_unstemmed |
Investigating the use of SIFT for facial expression recognition |
| title_sort |
investigating the use of sift for facial expression recognition |
| publishDate |
2013 |
| url |
http://hdl.handle.net/10356/53207 |
| _version_ |
1772828183783014400 |