Director of Research (if dissertation) or Advisor (if thesis)
Ahuja, Narendra
Doctoral Committee Chair(s)
Ahuja, Narendra
Committee Member(s)
Boppart, Stephen A.
Forsyth, David A.
Hoiem, Derek W.
Huang, Thomas S.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Stereo Matching
Bilateral Filter
Belief Propagation
Abstract
In this dissertation, I report the progress towards building a robust and efficient 3D
reconstruction system based on stereo vision. Stereo vision is known to be quite
fragile in practice due to specular highlights, lack of texture, lighting variations,
image blurring, etc. In this dissertation, I focus on exploiting the relationships
between illuminants, surface reflection and shape to increase the robustness of
stereo vision. I first present a new image transform for matching low-textured regions
and then a robust solution for illumination chromaticity estimation based on
a new correspondence matching invariant called Illumination Chromaticity Constancy.
I next propose a new framework based on bilateral filtering and loopy
belief propagation for simultaneous estimation of surface reflectance and shape
with the assumption that the illumination chromaticity can be correctly estimated.
Two new bilateral filtering algorithms with computational complexity invariant
to filter kernel size and a new belief propagation with computational complexity
invariant to the disparity search range are then presented to reduce the speed and
memory cost.
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