Color face image decomposition under complex lighting conditions

被引:3
|
作者
Kexin Hu
Yanli Liu
Qi Dong
Hao Liu
Guanyu Xing
机构
[1] Sichuan University,College of Computer Science
[2] Sichuan University,National Key Laboratory of Fundamental Science on Synthetic Vision
[3] University of Electronic Science and Technology,School of Computer Science and Engineering
来源
The Visual Computer | 2014年 / 30卷
关键词
Intrinsic image decomposition; Skin color model; Face relighting; Complex lighting conditions;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we proposed a method to recover the reflectance and shading images of face images, such as portraits, captured under complex lighting conditions. Under such lighting conditions, traditional intrinsic image decomposition can hardly be applied on face images especially with cast shadows. Inspired by the fact that the face symmetry is an inherent property of reflectance image for human face, face symmetry is firstly exploited as a constraint into traditional intrinsic decomposition framework to obtain the initial reflectance image. To remove the artifacts of the initial reflectance image caused by cast shadows, we use the skin color model to refine the reflectance image. Experiments show that our method is effective for face images under complex lighting conditions.
引用
收藏
页码:685 / 695
页数:10
相关论文
共 50 条
  • [31] Illumination invariant single face image recognition under heterogeneous lighting condition
    Zhu, Jun-Yong
    Zheng, Wei-Shi
    Lu, Feng
    Lai, Jian-Huang
    PATTERN RECOGNITION, 2017, 66 : 313 - 327
  • [32] Robust face recognition for lighting conditions
    Department of Mechanical Science and Engineering, Nagoya University, Furo-cho, Nagoya-shi, Aichi, 464-8603, Japan
    Nihon Kikai Gakkai Ronbunshu C, 2006, 5 (1492-1499):
  • [33] A Novel Feature Extraction Method for Face Recognition under Different Lighting Conditions
    Qian, Jianjun
    Yang, Jian
    BIOMETRIC RECOGNITION: CCBR 2011, 2011, 7098 : 17 - 24
  • [34] New MCT-based Face Recognition under Varying Lighting Conditions
    Park, Sue-Kyeong
    Sim, Dong-Gyu
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2011, 9 (03) : 542 - 549
  • [35] Face recognition in complex lighting environment
    Zou, ChangPeng
    Ni, ChengGong
    Lin, Qing
    Feng, KaiQiang
    Wang, YuXi
    2019 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC), 2019, : 162 - 165
  • [36] Color face image enhancement using adaptive singular value decomposition in fourier domain for face recognition
    Wang, Jing-Wein
    Ngoc Tuyen Le
    Lee, Jiann-Shu
    Wang, Chou-Chen
    PATTERN RECOGNITION, 2016, 57 : 31 - 49
  • [37] Face Recognition Using ATP Feature Set under Difficult Lighting Conditions
    Thomas, Lincy
    Karuppanan, Komathy
    ADVANCES IN COMPUTING AND COMMUNICATIONS, PT III, 2011, 192 : 425 - 434
  • [38] New MCT-based face recognition under varying lighting conditions
    Sue-Kyeong Park
    Dong-Gyu Sim
    International Journal of Control, Automation and Systems, 2011, 9 : 542 - 549
  • [39] Color calibration of moist soil images captured under irregular lighting conditions
    Baek, Sung-Ha
    Jeon, Jun-Seo
    Kwak, Tae-Young
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 214
  • [40] Evaluating color texture descriptors under large variations of controlled lighting conditions
    Cusano, Claudio
    Napoletano, Paolo
    Schettini, Raimondo
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2016, 33 (01) : 17 - 30