Abstract
Extraction of facial feature points is essential task for many kinds of applications of face images. The feasibility of facial features extraction is determined by not only its accuracy but processing time. Some applications require real-time detection of facial features. This research aims to propose a method of facial features extraction by an accelerated implementation of circular Hough transform with gradients and appearance evaluation by histogram of gradient features. The acceleration implementation employs General Purpose computing on Graphics Processing Unit. Experiment using FERET database shows that the proposed method successfully extracted eyes and nose for 98.44% and 99.50% of frontal face images in the dataset. And 96.5% of computational time was reduced by accelerated implementation employing GPGPU.
| Original language | English |
|---|---|
| Title of host publication | 2015 Frontiers of Computer Vision, FCV 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479917204 |
| DOIs | |
| Publication status | Published - Jan 1 2015 |
| Externally published | Yes |
| Event | 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015 - Mokpo, Korea, Republic of Duration: Jan 28 2015 → Jan 30 2015 |
Other
| Other | 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015 |
|---|---|
| Country | Korea, Republic of |
| City | Mokpo |
| Period | 1/28/15 → 1/30/15 |
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All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
Cite this
Facial features extraction by accelerated implementation of circular hough transform and appearance evaluation. / Iwasa, Hayato; Oyama, Wataru; Wakabayashi, Tetsushi; Kimura, Fumitaka.
2015 Frontiers of Computer Vision, FCV 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7103709.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Facial features extraction by accelerated implementation of circular hough transform and appearance evaluation
AU - Iwasa, Hayato
AU - Oyama, Wataru
AU - Wakabayashi, Tetsushi
AU - Kimura, Fumitaka
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Extraction of facial feature points is essential task for many kinds of applications of face images. The feasibility of facial features extraction is determined by not only its accuracy but processing time. Some applications require real-time detection of facial features. This research aims to propose a method of facial features extraction by an accelerated implementation of circular Hough transform with gradients and appearance evaluation by histogram of gradient features. The acceleration implementation employs General Purpose computing on Graphics Processing Unit. Experiment using FERET database shows that the proposed method successfully extracted eyes and nose for 98.44% and 99.50% of frontal face images in the dataset. And 96.5% of computational time was reduced by accelerated implementation employing GPGPU.
AB - Extraction of facial feature points is essential task for many kinds of applications of face images. The feasibility of facial features extraction is determined by not only its accuracy but processing time. Some applications require real-time detection of facial features. This research aims to propose a method of facial features extraction by an accelerated implementation of circular Hough transform with gradients and appearance evaluation by histogram of gradient features. The acceleration implementation employs General Purpose computing on Graphics Processing Unit. Experiment using FERET database shows that the proposed method successfully extracted eyes and nose for 98.44% and 99.50% of frontal face images in the dataset. And 96.5% of computational time was reduced by accelerated implementation employing GPGPU.
UR - http://www.scopus.com/inward/record.url?scp=84937158603&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937158603&partnerID=8YFLogxK
U2 - 10.1109/FCV.2015.7103709
DO - 10.1109/FCV.2015.7103709
M3 - Conference contribution
AN - SCOPUS:84937158603
BT - 2015 Frontiers of Computer Vision, FCV 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -