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Unified framework for face sketch synthesis

机译:人脸素描综合的统一框架

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摘要

Face sketch synthesis (FSS) has great significance to sketch based face retrieval or recognition and digital entertainment. Recently, great progress has been made in face sketch synthesis. Most state-of-the-art FSS methods work at patch level. However, these methods only consider either position constraint or global search when selecting candidate image patches. Furthermore, the common used weighting combination in these methods leads to the lost of reasonable high frequency details. We argue that all these factors are necessary for face sketch synthesis. To this end, we propose a simple yet effective unified approach considering position constraint, global search and high frequency compensation to infer pseudosketches from input test photos. Firstly, a nearest-neighbor search is conducted by combining both position constraint and global search. After obtaining the candidate image patches, a Markov network is applied to generate the pseudosketch. Secondly, the residue between an original sketch and the synthesized pseudosketch is modeled by the same Markov network to compensate the high frequency details. The effectiveness of the proposed method is demonstrated on the CUHK face sketch database by comparing with state-of-the-art FSS methods.
机译:面部素描合成(FSS)对于基于素描的面部检索或识别以及数字娱乐具有重要意义。近来,面部素描合成取得了很大的进步。大多数最新的FSS方法都可以在补丁程序级别上使用。但是,这些方法在选择候选图像补丁时仅考虑位置约束或全局搜索。此外,这些方法中常用的加权组合导致丢失合理的高频细节。我们认为所有这些因素对于人脸草图合成都是必需的。为此,我们提出了一种简单而有效的统一方法,该方法考虑了位置限制,全局搜索和高频补偿,以从输入的测试照片中推断出假草图。首先,通过结合位置约束和全局搜索来进行最近邻搜索。在获得候选图像补丁之后,应用马尔可夫网络来生成伪草图。其次,利用相同的马尔可夫网络对原始草图与合成伪草图之间的残差进行建模,以补偿高频细节。通过与最新的FSS方法进行比较,在中大人脸素描数据库上证明了该方法的有效性。

著录项

  • 来源
    《Signal processing》 |2017年第1期|1-11|共11页
  • 作者单位

    State Key Laboratory of Integrated Services Networks, School of Telecommunications, Xidian University, Xi'an 710071, China;

    School of Electronic Engineering, Xidian University, Xi'an 710071, China;

    School of Electronic Engineering, Xidian University, Xi'an 710071, China;

    School of Electronic Engineering, Xidian University, Xi'an 710071, China;

    State Key Laboratory of Integrated Services Networks, School of Telecommunications, Xidian University, Xi'an 710071, China;

    State Key Laboratory of Integrated Services Networks, School of Telecommunications, Xidian University, Xi'an 710071, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Face sketch synthesis; Position constraint; Global search; High frequency; Markov network;

    机译:人脸素描合成;位置限制;全局搜索;高频;马尔可夫网络;

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