The nature of statistical learning theory
The nature of statistical learning theory
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Synthesis of Novel Views from a Single Face Image
International Journal of Computer Vision
Finding Human Faces with a Gaussian Mixture Distribution-Based Face Model
ACCV '95 Invited Session Papers from the Second Asian Conference on Computer Vision: Recent Developments in Computer Vision
Object Classification Using a Fragment-Based Representation
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Finding faces in cluttered scenes using random labeled graph matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Complex Feature Recognition: A Bayesian Approach for Learning to Recognize Objects
Complex Feature Recognition: A Bayesian Approach for Learning to Recognize Objects
Support vector machines: training and applications
Support vector machines: training and applications
Single-Class Classification with Mapping Convergence
Machine Learning
International Journal of Computer Vision
Classifier combination for face localization in color images
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
| Hi-index | 0.01 |
We describe the design of a component based face detector for grayscale images. We show that including parts of the face into thenegative training sets of the component classifiers leads toimproved system performance. We also introduce a method of usingpairwise position statistics between component locations to moreaccurately locate the parts of a face. Finally, we illustrate anapplication of this technology in the creation of an accurate eyedetection system.