Face Sketch Synthesis and Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Unified Framework for Subspace Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
A Nonlinear Approach for Face Sketch Synthesis and Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Random Sampling for Subspace Face Recognition
International Journal of Computer Vision
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
Face Photo-Sketch Synthesis and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Forensic Sketches to Mug Shot Photos
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coupled information-theoretic encoding for face photo-sketch recognition
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Circuits and Systems for Video Technology
Inter-modality Face Sketch Recognition
ICME '12 Proceedings of the 2012 IEEE International Conference on Multimedia and Expo
Multi-feature canonical correlation analysis for face photo-sketch image retrieval
Proceedings of the 21st ACM international conference on Multimedia
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Face photo-sketch matching has received great attention in recent years due to its vital role in law enforcement. The major challenge of matching face photo and sketch is difference of visual characteristics between face photo and sketch which is referred as modality gap. Earlier approaches have reduced the modality gap by synthesizing face photos and sketches in a same modality (photo or sketch). However, the effectiveness of these approaches is highly affected by synthesis results. That means a poor synthesis might degrade the performance of matching. Therefore, recent works have focused to directly match face photo and sketch of different modalities. However, the features used by these approaches are not robust against modality gap. In this paper, a modality-invariant face descriptor called Gabor Shape is proposed to retrieve face photos based on a probe sketch. Experiments on CUFS and CUFSF datasets show that the new descriptor outperforms the state-of-the-art approaches.