Active shape models—their training and application
Computer Vision and Image Understanding
Face Sketch Synthesis and Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Photo-Sketch Synthesis and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
PCA-SIFT: a more distinctive representation for local image descriptors
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
Matching Forensic Sketches to Mug Shot Photos
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a feature-based method for matching facial sketch images to face photographs. Earlier approaches calculated descriptors over the whole image and used some transformation and matched them by some classifiers. We present an idea, where descriptors are calculated at selected discrete points (eyes, nose, ears…). This allows us to compare only prominent features. We use SIFT (Scale Invariant Feature Transform) to extract feature descriptors at the annotated points in the sketches and experiment with various methods to retrieve photos. Experimental results demonstrate appreciable matching performances using the presented feature-based methods at a low computational cost.