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University of Illinois at Urbana-Champaign

Weak Calibration and Image-Based Rendering Algorithms

Abstract

dc:description

Finally, we show how to adapt recent advances in statistically-unbiased least-squares methods to our image-based rendering approach. The point-based PIV involves equations with bilinear or higher-order data dependencies and we show how to efficiently estimate its parameters by adapting Leedan's and Meer's technique for bilinear estimation problems.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Genc, Yakup
Contributors dc:contributor
  • Ponce, Jean

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9953024
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81956

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

Genc, Yakup. Weak Calibration and Image-Based Rendering Algorithms. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81956