2D-DCM Based Face Specific Markov Network for Face Sketch Synthesis

A feature based two dimensional direct combined models for the proposed facial sketch synthesis is given by Markov network. The 2DDCM approach for the global module it presents the images to synthesis which creates an appearance of the surface as texture and global facial geometry of the input image. By using a parametric 2DDCM model and a non-parametric Markov random field, a part distinct from the whole texture is appended to the synthesized sketch in a local patch manner. As the outcome, the resemblance between the synthesized sketches and the input images is improved to the extended. At last by adding strong lines or curves to emphasize the lighting conditions to the post-processing operation. For the performance to improve the shadowed regions of the synthesized image. Pertaining to confirm that the synthesized facial images are in well quantitative and qualitative concord with the input images as the direct observation on condition by the same artist.