Active shape models—their training and application
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic image-based pencil sketch rendering
Journal of Computer Science and Technology
Image Warping with Scattered Data Interpolation
IEEE Computer Graphics and Applications
Face Sketch Synthesis and Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
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
Local face sketch synthesis learning
Neurocomputing
Face Photo-Sketch Synthesis and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
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We propose a novel pseudo photo generation system from a sketch image. All the training images and the input test sketch are warped around its mean shape to get shape free images. Based on local geometry preserving manifold learning method called locally linear embedding (LLE), a shape free pseudo-photo is synthesized by block matching. Then the photo of actual shape is constructed with the help of an Active Shape Model(ASM) and a neural network built on shape control point coordinate pair for training sketchphoto samples. We experimented over 300 sketch-photo image pairs and output synthesized photo for every test image is encouraging.