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  4. A Practical Framework for Measuring and Modeling the Appearance of Strongly Anisotropic Materials

A Practical Framework for Measuring and Modeling the Appearance of Strongly Anisotropic Materials

File(s)
Savva_cornell_0058O_10056.pdf (39.83 MB)
Permanent Link(s)
https://doi.org/10.7298/X4WH2N04
https://hdl.handle.net/1813/47723
Collections
Cornell Theses and Dissertations
Author
Savva, Nicolas
Abstract

We present a practical sparse measurement technique and a novel parameter fitting approach for the appearance of strongly anisotropic materials, with application to finished wood. Our approach makes use of bilateral symmetry arguments to reduce the amount of input data required to capture a spatially varying BRDF. This significantly decreases the necessary acquisition and computation time to recover the model parameters, with an observed speedup close to an order of magnitude over previous work, while achieving significantly improved results. We validate the quality of the rendered results from the new approach using additional dense ground truth measurements obtained using a 4-DoF spherical gantry. We also demonstrate a field measurement system using a portable hoop with individually addressable LEDs. The device is inexpensive, simple to build, fast in operation, and fully compatible with the proposed acquisition technique.

Date Issued
2017-01-30
Keywords
Computer science
•
Appearance Model
•
BRDF
•
Computer Graphics
•
Material Acquisition
•
SV-BRDF
Committee Chair
Marschner, Stephen Robert
Committee Member
Bala, Kavita
Bindel, David S.
Degree Discipline
Computer Science
Degree Name
M.S., Computer Science
Degree Level
Master of Science
Type
dissertation or thesis

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