Digital image processing
Recognition of Planar Object Classes
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Locating Facial Region of a Head-and-Shoulders Color Image
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Face Detection Based on Color and Local Symmetry Information
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Neural network-based face detection
Neural network-based face detection
A statistical approach to 3d object detection applied to faces and cars
A statistical approach to 3d object detection applied to faces and cars
Cascaded face detection using neural network ensembles
EURASIP Journal on Advances in Signal Processing
Facial feature extraction by a cascade of model-based algorithms
Image Communication
A simple and effective real-time eyes detection human detection without training procedure
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
A Robust Iris Localization Model Based on Phase Congruency and Least Trimmed Squares Estimation
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Object detection using spatial histogram features
Image and Vision Computing
Real-time face detection using illumination invariant features
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
A probabilistic multimodal sensor aggregation scheme applied for a mobile robot
KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence
Spatial histogram features for face detection in color images
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
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In this paper we describe our ongoing work on real-time face detection in grey level images using edge orientation information. We will show that edge orientation is a powerful local image feature to model objects like faces for detection purposes. We will present a simple and efficient method for template matching and object modeling based solely on edge orientation information. We also show how to obtain an optimal face model in the edge orientation domain from a set of training images. Unlike many approaches that model the grey level appearance of the face our approach is computationally very fast. It takes less than 0.08 seconds on a Pentium II 500MHz for a 320脳240 image to be processed using a multi-resolution search with six resolution levels. We demonstrate the capability of our detection method on an image database of 17000 images taken from more than 2900 different people. The variations in head size, lighting and background are considerable. The obtained detection rate is more than 93% on that database.