| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0426703 |
| utime |
20240103204051.5 |
| mtime |
20140519235959.9 |
| WOS |
000337307100015 |
| DOI |
10.1007/978-981-4585-42-2_15 |
| title
(primary) (eng) |
Near Infrared Face Recognition: A Comparison of Moment-Based Approaches |
| specification |
| page_count |
7 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0426702 |
| ISBN |
978-981-4585-41-5 |
| title
|
The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications |
| page_num |
129-135 |
| publisher |
| place |
Německo |
| name |
Springer |
| year |
2014 |
|
| editor |
|
| editor |
|
|
| keyword |
Face recognition |
| keyword |
Infrared imaging |
| keyword |
Moments |
| author
(primary) |
| ARLID |
cav_un_auth*0280199 |
| name1 |
Farokhi |
| name2 |
S. |
| country |
MY |
|
| author
|
| ARLID |
cav_un_auth*0302104 |
| name1 |
Shamsuddin |
| name2 |
S.M. |
| country |
MY |
|
| author
|
| ARLID |
cav_un_auth*0302105 |
| name1 |
Sheikh |
| name2 |
U.U. |
| country |
MY |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| cas_special |
| project |
| project_id |
GAP103/11/1552 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273618 |
|
| abstract
(eng) |
Moment based methods have evolved into a powerful tool for face recognition applications. In this paper, a comparative study on moments based feature extraction methods in terms of their capability to recognize facial images with different challenges is done to evaluate the performance of different type of moments. The moments include Geometric moments (GM’s), Zernike moments (ZM’s), Pseudo-Zernike moments (PZM’s) and Wavelet moments (WM’s). Experiments conducted on CASIA NIR database showed that Zernike moments outperformed other moment-based methods for facial images with different challenges such as facial expressions, head pose and noise. |
| action |
| ARLID |
cav_un_auth*0302106 |
| name |
The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications |
| place |
Penang |
| dates |
08.12.2013-10.12.2013 |
| country |
MY |
|
| reportyear |
2015 |
| RIV |
JD |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0233599 |
| confidential |
S |
| arlyear |
2014 |
| mrcbU34 |
000337307100015 WOS |
| mrcbU63 |
cav_un_epca*0426702 The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications 978-981-4585-41-5 129 135 The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications Německo Springer 2014 Lecture Notes on Electrical Engineering LNEE 291 |
| mrcbU67 |
Sakim H. 340 |
| mrcbU67 |
Mustaffa M. 340 |
|