计算机应用与软件Issue(4)：175-180,6.DOI:10.3969/j.issn.1000-386x.2015.04.042
基于特征融合的人脸素描自动生成系统研究
RESEARCH ON FEATURE FUSION-BASED AUTOMATIC FACIAL SKETCH GENERATION SYSTEM
摘要
Abstract
As a unique art,facial sketch expresses people’s feature and character with its realistic skill,and is widely used in law enforcement,digital entertainment,life technology and so on.In view of its broad application prospects,automatic facial sketch generation has become one of the hot topics in computer vision field.Aiming at the problems that current facial sketch uses single image feature,the sketch effect is not fine enough,and the built model is also very sensitive to illumination changes,etc.,in this article we present to conduct the technical design for robustness details of illumination based on using MRF model and belief propagation (BP)algorithm,and to carry out automatic facial sketch generation by combining a couple of mainstream visual features.First,the facial sketch is divided into overlapping image patches,and the features definition energy functions of DoG,Dense SIFT,Gray,LBP gist,etc.,are used to build Markov random field (MRF)model.Then,BP algorithm is used for inference in order to estimate the corresponding sketch patch of the testing photo patch. Finally,the overlapping regions of the sketch patches are processed and assembled into a complete facial sketch.Experimental result illustrates that the sketch synthesis effect achieves better effect by using Sum-Product BP algorithm for inference and using average method to assemble overlapping regions of sketch patches,and has better illumination robustness as well.关键词
人脸素描/马尔可夫随机场模型/置信度传播/特征融合Key words
Facial sketch/Markov random filed model/Belief propagation/Feature fusion分类
信息技术与安全科学引用本文复制引用
黄双萍,王卫星,吴伟斌,薛昆南,冯绮颖..基于特征融合的人脸素描自动生成系统研究[J].计算机应用与软件,2015,(4):175-180,6.基金项目
国家自然科学基金项目（30871450）；广东省自然科学基金项目（S2013010014240）；国家科技支撑计划子课题（2013 BAJ13 B05－01）。 （）
