Albert, Rachel A.Chan, Dorian YaoGoldman, Dan B.O'Brien, James F.Jakob, Wenzel and Hachisuka, Toshiya2018-07-012018-07-012018978-3-03868-068-01727-3463https://doi.org/10.2312/sre.20181168https://diglib.eg.org:443/handle/10.2312/sre20181168We 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.Computing methodologiesReflectance modelingComputational photographyTexturing10.2312/sre.2018116811-22