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University of Illinois at Urbana-Champaign

Motion estimation from three-dimensional data

Abstract

dc:description

In this thesis several new algorithms for the matching and motion estimation from 3-D data are introduced. First, various versions of the algorithms are classified into four levels based on the availability of the constraints such as object rigidity, point features, and matching correspondences. Then, at each level, several new algorithms are derived and their performance and applications are presented.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Goldgof, Dmitry B.
Contributors dc:contributor
  • Lee, Hua

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • Copyright 1989 Goldgof, Dmitry B.
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9010866
(UMI)AAI9010866
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/22787

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Goldgof, Dmitry B.. Motion estimation from three-dimensional data. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/22787