Learning Models for Multi-Viewpoint Object Detection
Kushal, Akash M.
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Permalink
https://hdl.handle.net/2142/81832
Description
Title
Learning Models for Multi-Viewpoint Object Detection
Author(s)
Kushal, Akash M.
Issue Date
2008
Doctoral Committee Chair(s)
Ponce, Jean
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)
Engineering, Robotics
Language
eng
Abstract
We also propose two different approaches for modeling the inter-part relations and algorithms for efficiently learning the model parameters. The first approach uses a generative model that models the joint probability distribution over the locations and visibility of all the object parts. The second approach employs a discriminative Conditional Random Field based model to encode the relative geometry and co-occurrence constraints.
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