Digital Image Processing
Fast Face Detection via Morphology-Based Pre-processing
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
Finding faces in cluttered scenes using random labeled graph matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A Fuzzy-Theory-Based Face Detector
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A hierarchical neural network for human face detection
Pattern Recognition
Robust Human Face Detection for Moving Pictures Based on Cascade-Typed Hybrid Classifier
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
| Hi-index | 0.00 |
A robust and efficient human face detection system that can detect multiple faces in various surroundings is presented in this paper. The proposed system consists of two principal parts. The first part is to search for the potential face regions. The second part is to perform face verification task. Our system can conquer different size, different lighting condition, varying pose and expression, and noise and defocus problems. In addition to overcome the problem of partial occlusion of mouth and sunglasses, the color segmentation process can successfully extract skin color from complex backgrounds. Experimental results demonstrate that an approximately 98 % success rate is achieved. The experimental results reveal that the proposed method is better than traditional methods in terms of efficiency and accuracy.