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Abstract:
We describe a simple and robust method for surface
mesostructure acquisition. Our method builds on the observation
that specular reflection is a reliable visual cue
for surface mesostructure perception. In contrast to most
photometric stereo methods, which take specularities as
outliers and discard them, we propose a progressive acquisition
system that captures a dense specularity field as
the only information for mesostructure reconstruction. Our
method can efficiently recover surfaces with fine-scale geometric
details from complex real-world objects with a wide
variety of reflection properties, including translucent, low
albedo, and highly specular objects. We show results for a
variety of objects including human skin, dried apricot, orange,
jelly candy, black leather and dark chocolate.
