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Abstract:
This thesis presents new 3D scanning methods for complex scenes, such as
surfaces with fine-scale geometric details, translucent objects, low-albedo
objects,
glossy objects, scenes with interreflection, and discontinuous scenes.
Starting from the observation that specular reflection is a reliable visual cue
for surface mesostructure perception, 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.
Translucent objects pose a difficult problem for traditional optical-based 3D
scanning techniques. We analyze and compare two descattering methods,
phaseshifting and polarization, and further present several phase-shifting and
polarization based methods for high quality 3D scanning of translucent objects.
We introduce the concept of modulation based separation, where a high frequency
signal is multiplied on top of another signal. The modulated signal inherits
the separation properties of the high frequency signal and allows us to remove
artifacts due to global illumination. Thismethod can be used for efficient 3D
scanning of scenes with significant subsurface scattering and interreflections.
