Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Probabilistic visual learning for object detection
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Face Detection Using Integral Projection Models
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Customer-dependent storytelling tool with authoring and viewing functions
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Contour extraction of facial feature components using template based snake algorithm
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
Hi-index | 0.00 |
We present a fully automatic solution to human face detection on still color images and to the closely related problems of face segmentation and location. Our method is based on the use of color and texture for searching skinlike regions in the images. This is accomplished with connected component analysis in adaptatively thresholded images. Multiple candidate regions appear, so determining whether each one corresponds or not to a face, solves the detection problem and allows a straightforward segmentation. Then, the main facial features are located using accumulative projections. We present some results on a database of typical TV and videoconference images. Finally, we extract some conclusions and advance our future work.