Facial features extraction by accelerated implementation of circular hough transform and appearance evaluation

Author

Iwasa, Hayato ; Ohyama, Wataru ; Wakabayashi, Tetsushi ; Kimura, Fumitaka

Author_Institution

Grad. Sch. of Eng., Mie Univ., Tsu, Japan

fYear

2015

fDate

28-30 Jan. 2015

Firstpage

1

Lastpage

6

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.

Keywords

Hough transforms; feature extraction; graphics processing units; object detection; FERET database; GPGPU; appearance evaluation; circular Hough transform; eye extraction; face image; facial feature detection; facial feature extraction; general purpose computing on graphics processing unit; histogram-of-gradient features; nose extraction; Acceleration; Face; Facial features; Feature extraction; Graphics processing units; Nose; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers of Computer Vision (FCV), 2015 21st Korea-Japan Joint Workshop on

Conference_Location

Mokpo

Type

conf

DOI

10.1109/FCV.2015.7103709

Filename

7103709