Local face sketch synthesis learning
Neurocomputing
A new approach for face recognition by sketches in photos
Signal Processing
Hand-drawn face sketch recognition by humans and a PCA-based algorithm for forensic applications
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
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An other-race effect for face recognition algorithms
ACM Transactions on Applied Perception (TAP)
Lighting and pose robust face sketch synthesis
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Random sampling LDA for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Dual-space linear discriminant analysis for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A novel technique for sketch to photo synthesis
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Inter-modality face recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Recent advances in subspace analysis for face recognition
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Face image retrieval based on probe sketch using SIFT feature descriptors
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Face photo retrieval by sketch example
Proceedings of the 20th ACM international conference on Multimedia
A Comprehensive Survey to Face Hallucination
International Journal of Computer Vision
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In this paper, we propose a novel face photo retrievalsystem using sketch drawings. By transforming a photoimage into a sketch, we reduce the difference betweenphoto and sketch significantly, thus allow effectivematching between the two. To improve the synthesisperformance, we separate shape and texture informationin a face photo, and conduct transformation on themrespectively. Finally a Bayesian classifier is used torecognize the probing sketch from the synthesizedpseudo-sketches. Experiments on a data set containing606 people clearly demonstrate the efficacy of thealgorithm.