Abstract
This thesis presents an example-based method to synthesize a human portrait sketch from the given photo. There are two major modules in the proposed method：the feature extraction module, and the synthesis module. In the feature extraction module, we take advantage of the trained Active Appearance Model (AAM) to automatically extract feature points from the given example. Then we compute feature vectors of face components, such as eyes, nose, lip, and so on according to the geometric positions of feature points. In the synthesis module, we first compute the feature vectors of the given photo. Then, based on these feature vectors we find the most similar drawing component of each face component in the example database. With these retrieved face components and user selected hair style, we construct the final human facial sketch according to the placement parameters obtained from feature vectors. Several experimental examples are given to demonstrate the effectiveness of the proposed method.