Journal article
Minimal BRDF Sampling for Two-Shot Near-Field Reflectance Acquisition
We develop a method to acquire the BRDF of a homogeneous flat sample from only two images, taken by a near-field perspective camera, and lit by a directional light source. Our method uses the MERL BRDF database to determine the optimal set of lightview pairs for data-driven reflectance acquisition. We develop a mathematical framework to estimate error from a given set of measurements, including the use of multiple measurements in an image simultaneously, as needed for acquisition from near-field setups.
The novel error metric is essential in the near-field case, where we show that using the condition-number alone performs poorly. We demonstrate practical near-field acquisition of BRDFs from only one or two input images. Our framework generalizes to configurations like a fixed camera setup, where we also develop a simple extension to spatially-varying BRDFs by clustering the materials.
Language: | English |
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Publisher: | ACM |
Year: | 2016 |
Pages: | 1-12 |
ISSN: | 15577368 and 07300301 |
Types: | Journal article |
DOI: | 10.1145/2980179.2982396 |