Name
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. |
Year | Venue | Field |
|---|---|---|
2018 | EGSR (EI&I) | Bidirectional reflectance distribution function,Computer vision,Fiducial marker,Panorama,Computer science,Computational photography,Homography,Pixel,Artificial intelligence,Mobile phone,Rendering (computer graphics) |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
26 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rachel Albert | 1 | 30 | 3.20 |
| Dorian Yao Chan | 2 | 0 | 0.34 |
| Dan B. Goldman | 3 | 2321 | 85.23 |
| James F. O'Brien | 4 | 3790 | 247.44 |