A Simple Framework for Face Photo-Sketch Synthesis

Author:

Li Xuewei1,Cao Xiaochun1

Affiliation:

1. School of Computer Science and Technology, Tianjin University, Tianjin 300072, China

Abstract

This paper proposes a simple framework for face photo-sketch synthesis. We first describe the shadow details on faces and extract the prominent facial feature by two-scale decomposition using bilateral filtering. Then, we enhance the hair and some unapparent facial feature regions by combining the edge map and hair color similarity map. Finally, we obtain the face photo sketch by adding the results of the two processes. Compared with current methods, the proposed framework demands non feature localization, training or iteration process, creating vivid hair in sketch synthesis, and process arbitrary lighting conditions of input images, especially for complex self-shadows. And more importantly, it can be easily expanded to natural scene. The effectiveness of the presented framework is evaluated on a variety of databases.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Suspect face retrieval using visual and linguistic information;The Visual Computer;2022-04-27

2. Face Sketch-Photo Synthesis and Recognition;Third International Conference on Image Processing and Capsule Networks;2022

3. Target Detection Algorithm in Crime Recognition Using Artificial Intelligence;Computers, Materials & Continua;2022

4. 似顔絵間の差異に着目した対話的な似顔絵制作システムの提案;The Journal of the Society for Art and Science;2020-11-05

5. Face Sketch Synthesis Based on Local and Nonlocal Similarity Regularization;J INF PROCESS SYST;2019

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