Illumination-Aware Digital Image Compositing for Full-length Human Figures

Masaru Ohkawara, Issei Fujishiro

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

1 Citation (Scopus)


In this paper, a novel compositor to realize illumination-Aware digital image compositing is proposed. Digital image compositing is a technique to re-synthesize a single image from multiple visual elements. Assembling separated visual elements leads to highly efficient content creation at risk of losing visual coherence. Visual coherence has two types: positional and illumination. Compositing while maintaining illumination coherence is considered a challenging task, because light transport information is needed to reproduce global illumination effects-color bleeding, soft shadows, caustics, and so on. The pipeline of the proposed compositor incorporates shape reconstruction, as well as global illumination simulation and relighting; thus, the compositor can reproduce background-To-foreground color bleeding and soft shadows. It is empirically evaluated that the proposed compositor compares favorably with rendering both in terms of quality and speed. Because it is in principle impossible to render the foreground and background elements together, the proposed compositor is inevitably selected to generate images with the two types of visual coherence. This leads to efficient construction of photorealistic cyberworlds.

Original languageEnglish
Title of host publicationProceedings - 2021 International Conference on Cyberworlds, CW 2021
EditorsAlexei Sourin, Christophe Rosenberger, Olga Sourina
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781665440653
Publication statusPublished - 2021
Event2021 International Conference on Cyberworlds, CW 2021 - Caen, France
Duration: 2021 Sept 282021 Sept 30

Publication series

NameProceedings - 2021 International Conference on Cyberworlds, CW 2021


Conference2021 International Conference on Cyberworlds, CW 2021


  • digital image compositing
  • image processing
  • perception
  • visual coherence

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Modelling and Simulation


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