| dc.contributor.author | Albert, Rachel A. | en_US |
| dc.contributor.author | Chan, Dorian Yao | en_US |
| dc.contributor.author | Goldman, Dan B. | en_US |
| dc.contributor.author | O'Brien, James F. | en_US |
| dc.contributor.editor | Jakob, Wenzel and Hachisuka, Toshiya | en_US |
| dc.date.accessioned | 2018-07-01T07:32:40Z | |
| dc.date.available | 2018-07-01T07:32:40Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 978-3-03868-068-0 | |
| dc.identifier.issn | 1727-3463 | |
| dc.identifier.uri | https://doi.org/10.2312/sre.20181168 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/sre20181168 | |
| dc.description.abstract | We describe a new technique for obtaining a spatially varying BRDF (svBRDF) of a flat object using printed fiducial markers and a cell phone capable of continuous flash video. Our homography-based video frame alignment method does not require the fiducial markers to be visible in every frame, thereby enabling us to capture larger areas at a closer distance and higher resolution than in previous work. Pixels in the resulting panorama are fit with a BRDF based on a recursive subdivision algorithm, utilizing all the light and view positions obtained from the video. We show the versatility of our method by capturing a variety of materials with both one and two camera input streams and rendering our results on 3D objects under complex illumination. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Reflectance modeling | |
| dc.subject | Computational photography | |
| dc.subject | Texturing | |
| dc.title | Approximate svBRDF Estimation From Mobile Phone Video | en_US |
| dc.description.seriesinformation | Eurographics Symposium on Rendering - Experimental Ideas & Implementations | |
| dc.description.sectionheaders | Acquisition | |
| dc.identifier.doi | 10.2312/sre.20181168 | |
| dc.identifier.pages | 11-22 | |
