Perceiving and recognizing three-dimensional forms
Perceiving and recognizing three-dimensional forms
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eye finding via face detection for a foveated, active vision system
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Frontal-view face detection and facial features extraction using color and morphological operations
Pattern Recognition Letters
A new face detection method based on shape information
Pattern Recognition Letters
Face localization based on the morphological multiscale fingerprints
Pattern Recognition Letters
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Context-Dependent Attention System for a Social Robot
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Probabilistic visual learning for object detection
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
IEEE Transactions on Consumer Electronics
How effective are landmarks and their geometry for face recognition?
Computer Vision and Image Understanding
Face detection and facial feature localization without considering the appearance of image context
Image and Vision Computing
How effective are landmarks and their geometry for face recognition?
Computer Vision and Image Understanding
Real-time emotion recognition using biologically inspired models
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Robust face recognition strategies using feed-forward architectures and parts
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Family facial patch resemblance extraction
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
| Hi-index | 0.00 |
A multi-stage system for single face tracking in cluttered scenes is presented. Initial candidate face locations are identified using a modified version of the ratio template algorithm [Proceedings of the Fifteenth National Conference on Artificial Intelligence (1998)]. This operates by matching ratios of averaged luminance using a spatial face model adapted here to incorporate biological proportions (the golden ratio). We find the inclusion in the face template of these golden ratio proportions increases tolerance to illumination changes. Subsequent processing stages enable rejection of false positives. These stages include a novel ratio-ratios operator that improves recognition rates by examining higher order relationships within the initial ratio template measures, and simple morphological eye and mouth feature detection. This frontal-face tracking architecture runs in real-time and is applicable to problem domains where face localisation is required.