Independent Component Regularisation Analysis on Face Verification
Face verification system is one of the biometrics technologies which has gained considerable attention since the past decades. It uses human’s unique characteristic which is face to authenticate one’s identity. Contactless verification from users to the device and avoiding using expensive devices ar...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2015
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-mmu-ep.6890 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-mmu-ep.68902022-12-08T05:01:31Z Independent Component Regularisation Analysis on Face Verification 2015-07 Liew, Yee Ping TA1501-1820 Applied optics. Photonics Face verification system is one of the biometrics technologies which has gained considerable attention since the past decades. It uses human’s unique characteristic which is face to authenticate one’s identity. Contactless verification from users to the device and avoiding using expensive devices are two main reasons for the popularity of face verification application. Illumination, pose and facial expressions variations always resulting in performance degradation. Resolving these intra-class variations for promising performance is still a challenge in nowadays. Dimensionality reduction is one of the main tasks in face verification. Instead of using high dimensionality facial images, subspace approach has been introduced whereby each image dimension is reduced while redundant features are eliminated. This approach attempts to seek the most appropriate representation of the face data and extract features without sacrificing its discriminant information. 2015-07 Thesis http://shdl.mmu.edu.my/6890/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Information Science and Technology |
| institution |
Multimedia University |
| collection |
MMU Institutional Repository |
| topic |
TA1501-1820 Applied optics Photonics |
| spellingShingle |
TA1501-1820 Applied optics Photonics Liew, Yee Ping Independent Component Regularisation Analysis on Face Verification |
| description |
Face verification system is one of the biometrics technologies which has gained considerable attention since the past decades. It uses human’s unique characteristic which is face to authenticate one’s identity. Contactless verification from users to the device and avoiding using expensive devices are two main reasons for the popularity of face verification application. Illumination, pose and facial expressions variations always resulting in performance degradation. Resolving these intra-class variations for promising performance is still a challenge in nowadays. Dimensionality reduction is one of the main tasks in face verification. Instead of using high dimensionality facial images, subspace approach has been introduced whereby each image dimension is reduced while redundant features are eliminated. This approach attempts to seek the most appropriate representation of the face data and extract features without sacrificing its discriminant information. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Liew, Yee Ping |
| author_facet |
Liew, Yee Ping |
| author_sort |
Liew, Yee Ping |
| title |
Independent Component Regularisation Analysis on Face Verification |
| title_short |
Independent Component Regularisation Analysis on Face Verification |
| title_full |
Independent Component Regularisation Analysis on Face Verification |
| title_fullStr |
Independent Component Regularisation Analysis on Face Verification |
| title_full_unstemmed |
Independent Component Regularisation Analysis on Face Verification |
| title_sort |
independent component regularisation analysis on face verification |
| granting_institution |
Multimedia University |
| granting_department |
Faculty of Information Science and Technology |
| publishDate |
2015 |
| _version_ |
1776101414411436032 |