10.2312/SRE.20181168
Approximate svBRDF Estimation From Mobile Phone Video
Albert, Rachel A.
Chan, Dorian Yao
Goldman, Dan B.
O'Brien, James F.
The Eurographics Association
2018
978-3-03868-068-0
1727-3463
https://diglib.eg.org/bitstream/handle/10.2312/sre.20181168/011-022.pdf
12 pages
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.
Eurographics Symposium on Rendering - Experimental Ideas & Implementations
Acquisition
11
22
Rachel A. Albert, Dorian Yao Chan, Dan B. Goldman, and James F. O'Brien
CCS Concepts: Computing methodologies --> Reflectance modeling; Computational photography; Texturing
Computing methodologies
Reflectance modeling
Computational photography
Texturing
Paper
011-022