Face recognition by cortical multi-scale line and edge representations

Authors:
João Rodrigues;J. M. Hans du Buf
Affiliations:
Escola Superior de Tecnologia;Vision Laboratory, University of Algarve, Faro, Portugal
Venue:
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Year:
2006

Citing 11
Cited 3

Phase-based disparity measurement

CVGIP: Image Understanding
Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space Theory in Computer Vision

Scale-Space Theory in Computer Vision
Biologically Motivated Approach to Face Recognition

IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
Biologically Motivated Approach to Face Recognition

IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
CBF: A New Framework for Object Categorization in Cortex

BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Face Matching through Information Theoretical Attention Points and Its Applications to Face Detection and Classification

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
A Cortical Mechanism for Triggering Top-Down Facilitation in Visual Object Recognition

Journal of Cognitive Neuroscience
Multiresolution face recognition

Image and Vision Computing
Multi-scale keypoints in v1 and face detection

BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Contour detection based on nonclassical receptive field inhibition

IEEE Transactions on Image Processing

A model of contour extraction including multiple scales, flexible inhibition and attention

Neural Networks
Invariant Multi-scale Object Categorisation and Recognition

IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Recognition of facial expressions by cortical multi-scale line and edge coding

ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. Models of visual perception are based on image representations in cortical area V1 and beyond, which contain many cell layers for feature extraction. Simple, complex and end-stopped cells provide input for line, edge and keypoint detection. Detected events provide a rich, multi-scale object representation, and this representation can be stored in memory in order to identify objects. In this paper, the above context is applied to face recognition. The multi-scale line/edge representation is explored in conjunction with keypoint-based saliency maps for Focus-of-Attention. Recognition rates of up to 96% were achieved by combining frontal and 3/4 views, and recognition was quite robust against partial occlusions.