An example-based face relighting

Hyunjung Shim, Tsuhan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, we propose a new face relighting algorithm powered by a large database of face images captured under various known lighting conditions (a Multi-PIE database). Key insight of our algorithm is that a face can be represented by an assemble of patches from many other faces. The algorithm finds the most similar face patches in the database in terms of the lighting and the appearance. By assembling the matched patches, we can visualize the input face under various lighting conditions. Unlike existing face relighting algorithms, we neither use any kinds of face model nor make a physical assumption. Instead, our algorithm is a data-driven approach, synthesizing the appearance of the image patch using the appearance of the example patch. Using a data-driven approach, we can account for various intrinsic facial features including the non-Lambertian skin properties as well as the hair. Also, our algorithm is insensitive to the face misalignment. We demonstrate the performance of our algorithm by face relighting and face recognition experiments. Especially, the synthesized results show that the proposed algorithm can successfully handle various intrinsic features of an input face. Also, from the face recognition experiment, we show that our method is comparable to the most recent face relighting work.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - The Engineering Reality of Virtual Reality 2012
ISBN (Print)9780819489364
Publication statusPublished - 2012
EventThe Engineering Reality of Virtual Reality 2012 - Burlingame, CA, United States
Duration: 2012 Jan 242012 Jan 25

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherThe Engineering Reality of Virtual Reality 2012
Country/TerritoryUnited States
CityBurlingame, CA

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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