Detour Light Field Rendering for Diminished Reality Using Unstructured Multiple Views

Shohei Mori, Momoko Maezawa, Naoto Ienaga, Hideo Saito

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

Instructor's perspective videos are useful for presenting intuitive visual instructions for trainees in medical and industrial settings. In such videos, the instructor's arms often obstruct the trainee's view of the work area. In this article, we present a diminished reality method for visualizing the work area hidden by an instructor's arms by capturing the work area with multiple cameras. To achieve such diminished reality, we propose detour light field rendering (DLFR), in which light rays avoid passing through penalty points set in the unstructured light fields reconstructed from multiple viewpoint images. In DLFR, the camera blending field used in an existing freeviewpoint image generation method known as unstructured lumigraph is re-designed based on our use cases. In this re-design, lesser weights are given to light rays as they pass close to given penalty points. Experimental results demonstrate that using DLFR, the appearance of an undesirable object can be removed from an image in real time.

元の言語English
ホスト出版物のタイトルAdjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ292-293
ページ数2
ISBN(電子版)9781509037407
DOI
出版物ステータスPublished - 2017 1 30
イベント15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016 - Merida, Yucatan, Mexico
継続期間: 2016 9 182016 9 23

Other

Other15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
Mexico
Merida, Yucatan
期間16/9/1816/9/23

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Media Technology
  • Computer Graphics and Computer-Aided Design

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    Mori, S., Maezawa, M., Ienaga, N., & Saito, H. (2017). Detour Light Field Rendering for Diminished Reality Using Unstructured Multiple Views. : Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016 (pp. 292-293). [7836519] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMAR-Adjunct.2016.0098