Portrait Drawing Generation Based on Facial Features and Line Integral Convolution

To better mimic the strokes of portrait drawings and to emphasize facial features, this paper proposes a portrait drawing generation method based on face features and line integral convolution (LIC).Firstly, our method segments the human face, which uses the feature points of the human face to define an initial trimap for the GrabCut algorithm for each feature.Then we render the portrait drawing using LIC according to the segmentation.We utilize multi-scale white noise pyramids and vector field pyramids in LIC and propose an adaptive edge extraction algorithm based on the segmentation.Experimental results demonstrate that our method can improve the quality of portrait drawing.