Manifold bootstrapping for SVBRDF capture

Manifold bootstrapping is a new method for data-driven modeling of real-world, spatially-varying reflectance, based on the idea that reflectance over a given material sample forms a low-dimensional manifold. It provides a high-resolution result in both the spatial and angular domains by decomposing reflectance measurement into two lower-dimensional phases. The first acquires representatives of high angular dimension but sampled sparsely over the surface, while the second acquires keys of low angular dimension but sampled densely over the surface. We develop a hand-held, high-speed BRDF capturing device for phase one measurements. A condenser-based optical setup collects a dense hemisphere of rays emanating from a single point on the target sample as it is manually scanned over it, yielding 10 BRDF point measurements per second. The second phase captures N=20-200 images of the entire sample from a fixed view and lit by a varying area source. We show that the resulting Ndimensional keys...

• Type: Conference
• Year: 2010
• Where: SIGGRAPH
• Authors: Yue Dong, Jiaping Wang, Xin Tong, John Snyder, Yanxiang Lan, Moshe Ben-Ezra, Baining Guo
• Keywords: Angular, Angular Dimension, Computer Graphics, Low Angular Dimension, SIGGRAPH 2010