A robust method for detecting arbitrarily tilted human faces in color images

Authors:
Cheng-Chin Chiang;Chi-Jang Huang
Affiliations:
Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien 974, Taiwan;Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien 974, Taiwan
Venue:
Pattern Recognition Letters
Year:
2005

Citing 12
Cited 7

Fundamentals of digital image processing

Fundamentals of digital image processing
Example-Based Learning for View-Based Human Face Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Detection in Color Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Skin Color Model and Neural Network for Rotation Invariant Face Detection

ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Real-Time Face Detection and Tracking Using PCA and NN

PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Multi-Modal Tracking of Faces for Video Communications

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Rotation Invariant Neural Network-Based Face Detection

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Real-Time Multi-View Face Detection

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
A novel method for detecting lips, eyes and faces in real time

Real-Time Imaging - Special issue on spectral imaging
Face detection using quantized skin color regions merging andwavelet packet analysis

IEEE Transactions on Multimedia
Face recognition/detection by probabilistic decision-based neural network

IEEE Transactions on Neural Networks

Human computing and machine understanding of human behavior: a survey

Proceedings of the 8th international conference on Multimodal interfaces
A Neural Network Based Cascaded Classifier for Face Detection in Color Images with Complex Background

ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
A data mining approach to face detection

Pattern Recognition
Eye-verifier using ternary template for reliable eye detection in facial color images

BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Human computing and machine understanding of human behavior: a survey

ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
Robust feature extraction for facial image quality assessment

WISA'10 Proceedings of the 11th international conference on Information security applications
Reliable detection of eye features and eyes in color facial images using ternary eye-verifier

Pattern Recognition

Quantified Score

Hi-index	0.10

Visualization

Abstract

This paper presents the design of a robust face detector that can detect arbitrarily tilted human faces in color images. This detector locates face regions by identifying mouth corners and eyes. The novel techniques included in the proposed detector are: (1) a method for compensating the colors of the input images, (2) a method for deskewing tilted faces, (3) a method for locating mouth corners, and (4) a discriminant function for positioning eyes. According to the performance evaluation on three test databases which contain 1791 faces on 1580 images, the proposed method achieves a precision rate of 94.62% and a recall rate of 92.24% in average at the detection speed of 1.6 faces per second. The performance of the proposed detector also slightly outperforms a detector from CMU.