JOURNAL ARTICLE

Facial feature extraction from frontal face image

Abstract

In this paper, we describe a system for extracting the facial features required to reconstruct a 3D model of a face from a 2D image. The facial image processing library comprises of 32 standard functions and 7 functions for the automatic facial contour extraction function. 32 standard functions can be classified into five groups such as face detection, pupil detection, facial parts detection, facial parts contour extraction and face contour extraction. The system is not only useful for the automatic 3D facial model fitting but also for a widespread facial image processing applications such as personal authentication and facial expression analysis.

Keywords:
Artificial intelligence Computer science Computer vision Feature extraction Face (sociological concept) Face detection Pattern recognition (psychology) Facial expression Three-dimensional face recognition Face hallucination Facial recognition system Feature (linguistics) Object-class detection Image processing Image (mathematics)

Metrics

13
Cited By
0.23
FWCI (Field Weighted Citation Impact)
8
Refs
0.51
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Face recognition and analysis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
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