Globally -Coordinated Locally-Linear Modeling of Multi-Dimensional Data
Liu, Che-Bin
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Permalink
https://hdl.handle.net/2142/81723
Description
Title
Globally -Coordinated Locally-Linear Modeling of Multi-Dimensional Data
Author(s)
Liu, Che-Bin
Issue Date
2006
Doctoral Committee Chair(s)
Ahuja, Narendra
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
The proposed approach in this thesis has advantages over existing approaches to analyzing complex spatio-temporal data. Experiments show that the new modeling features of our approach improve the performance of existing approaches in many applications. In object tracking, our approach is the first one to track nonlinear appearance variations by using low-dimensional representation of the appearance change in globally-coordinated linear subspaces. In dynamic texture synthesis, we are able to model non-stationary dynamic textures, which cannot be handled by any of the existing approaches. In human motion synthesis, we show that realistic synthesis can be performed without using specific transition points, or key frames.
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