Walton, DR;
Steed, A;
(2018)
Dynamic HDR Environment Capture for Mixed Reality.
In: Spencer, SN, (ed.)
VRST '18: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology.
Association for Computing Machinery (ACM): New York, NY, USA.
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Abstract
Rendering accurate and convincing virtual content into mixed reality (MR) scenes requires detailed illumination information about the real environment. In existing MR systems, this information is often captured using light probes [1, 8, 9, 17, 19--21], or by reconstructing the real environment as a preprocess [31, 38, 54]. We present a method for capturing and updating a HDR radiance map of the real environment and tracking camera motion in real time using a self-contained camera system, without prior knowledge about the real scene. The method is capable of producing plausible results immediately and improving in quality as more of the scene is reconstructed. We demonstrate how this can be used to render convincing virtual objects whose illumination changes dynamically to reflect the changing real environment around them.
| Type: | Proceedings paper |
|---|---|
| Title: | Dynamic HDR Environment Capture for Mixed Reality |
| Event: | 24th ACM Symposium on Virtual Reality Software and Technology (VRST '18) |
| Location: | Waseda Univ, Tokyo, JAMAICA |
| Dates: | 28 November 2018 - 01 December 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3281505.3281531 |
| Publisher version: | https://doi.org/10.1145/3281505.3281531 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Mixed Reality, 3D Reconstruction, HDR |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10073554 |
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