Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
A Framework for Recognizing a Facial Image from a Police Sketch
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Feature-Based Face Recognition Using Mixture-Distance
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
The mug-shot search problem: a study of the eigenface metric, search strategies, and interfaces in a system for searching facial image data
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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This paper addresses the problems of face recognition using sketch. All existing face sketch recognition systems focus on the sketch to mug shot matching. However, one of the key problems is that very often witness cannot reconstruct the sketch well. In turn, it does not look like the mug shot image. The performance of existing systems will be greatly degraded. To overcome this limitation, this paper makes use of the concept of human-in-the-loop and proposes a human face image searching system using relevance feedback. The proposed system employs linear discriminant analysis for on-line learning the optimal projection subspace for face representation. The proposed system has been evaluated using FERET database and a Japanese database with hundreds of individual with all frontal view face images. The results are encouraging.