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A Fusion Model For Enhancement of Range Images
Blekinge Institute of Technology, School of Engineering.
Blekinge Institute of Technology, School of Engineering.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesisAlternative title
English (Swedish)
Abstract [en]

In this thesis, we would like to present a new way to enhance the “depth map” image which is called as the fusion of depth images. The goal of our thesis is to try to enhance the “depth images” through a fusion of different classification methods. For that, we will use three similar but different methodologies, the Graph-Cut, Super-Pixel and Principal Component Analysis algorithms to solve the enhancement and output of our result. After that, we will compare the effect of the enhancement of our result with the original depth images. This result indicates the effectiveness of our methodology.

Place, publisher, year, edition, pages
2012. , 39 p.
Keyword [en]
2 Dimension (2D), 3 Dimension (3D), Markov Random Field, Depth Map, Energy Function, Threshold, Graph-Cut, Super-Pixel, Principal Component Analysis (PCA)
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:bth-2203Local ID: oai:bth.se:arkivex027A8EE980472E96C12579EB001B2996OAI: oai:DiVA.org:bth-2203DiVA: diva2:829470
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Note
Room 401, No.56, Lane 21, Yin Gao Road, Shanghai, ChinaAvailable from: 2015-04-22 Created: 2012-04-25 Last updated: 2015-06-30Bibliographically approved

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Probability Theory and Statistics

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf