2026-09-19T00:36:24Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/287282022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Trevor Darrell.
Christoudias, Chris Mario, 1980-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-09-27T18:00:58Z
2005-09-27T18:00:58Z
2004
2004
http://hdl.handle.net/1721.1/28728
59554532
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaves 137-141).
Statistical shape and texture appearance models are powerful image representations, but previously had been restricted to 2D or 3D shapes with smooth surfaces and lambertian reflectance. In this thesis we present a novel 4D appearance model using image-based rendering techniques, which can represent complex lighting conditions, structures, and surfaces. We construct a light field manifold capturing the multi-view appearance of an object class and extend previous direct search algorithms to match new light fields or 2D images of an object to a point on this manifold. When matching to a 2D image the reconstructed light field can be used to render unseen views of the object. Our technique differs from previous view-based active appearance models in that model coefficients between views are explicitly linked, and that we do not model any pose variation within the deformable model at a single view. It overcomes the limitations of polygonal based appearance models and uses light fields that are acquired in real-time.
by Chris Mario Christoudias.
S.M.
141 p.
6023817 bytes
6042420 bytes
application/pdf
application/pdf
en_US
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Light field appearance manifolds
Thesis
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