Type of Document	Thesis
Author	Song, Hui
Author's Email Address	hui@cs.fsu.edu
URN	etd-07122004-164318
Title	The F-Table: A Data Structure for Rendering Photo-Accurate Images of Faces from Experimentally Acquired Reflectance
Degree	Master of Science
Department	Computer Science, Department of
Advisory Committee	Advisor Name Title David C. Banks Committee Chair Anuj Srivastava Committee Member Xiuwen Liu Committee Member
Keywords	Photo-Accurate Photo-Realistic Exprimental Recognition Face F-Table Reflectance Measure Global Illumination
Date of Defense	2004-07-03
Availability	unrestricted
Abstract My thesis is that a realistic image of a human face can be generated using a computational simulation of light transport. I demonstrate this thesis by acquiring the three-dimensional geometry of a face, measuring the reflectance function from the face, and generating a graphical image that accurately matches a photograph of the face. I also show that the faithful simulation of the physics of light transport is important for synthesizing a realistic image of the face. One important consequence of this work is that it can be used in the future to recognize a face based on a photograph. By rendering realistic images of geometric meshes of faces using accurate reflectance functions and faithful physics, photo-realistic images can be compared pixel by pixel to digitized photographs to search for the closest match between a face in a geometric database and a face in a photograph.
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