A Comparative Study on Face Sketch Synthesis | Zendy

Adeel Akram | Zendy; Nannan Wang | Zendy; Jie Li | Zendy; Xinbo Gao | Zendy

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A Comparative Study on Face Sketch Synthesis

Author(s) -

Adeel Akram,

Nannan Wang,

Jie Li,

Xinbo Gao

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2852709

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

The purpose of face sketch synthesis technique is to generate a sketch from an input face image given a set of face sketch-photo images as the training set. Since face sketch synthesis is attracting huge attentions, an experimental study to existing methods is nontrivial. This paper provides a comprehensive review and comparative study to representative face sketch synthesis methods. These methods are further sub-divided into two main categories: data-driven methods, also known as exemplar-based methods, and model-driven methods. Generally, exemplar-based face sketch synthesis consists of four parts: patch representation; neighbor selection; weight computation; and patch assembling. Model-driven methods explicitly learn the mapping from face photos to face sketches. We have drawn some promising conclusions in this paper which have not been investigated before.

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