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Merging depth maps - A study in how a varying number of depth maps affect the results
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A depth map is normally created using two horizontally displaced images, where each depth value in the map is the distance to the 3D point. In some image areas, depth values cannot be calculated due to low texture, occlusions etc. These areas are classified as uncertain. This thesis proposes a simple method using multiple depth maps to fill in uncertain areas and improve the depth estimates elsewhere. The accuracy and coverage of the results are evaluated as a function of the number of depth maps used. The method was evaluated on three data sets from the Middlebury data set. In general, the merged maps have better accuracy and coverage thantheindividualdepthmaps. Furthermore,theaccuracyandcoverage improves with an increasing number of individual maps. The exception is a narrow transitory coverage range where the accuracy worsens with increasing number of individual depth maps.

Place, publisher, year, edition, pages
2016. , 31 p.
Series
UMNAD, 1072
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-128409OAI: oai:DiVA.org:umu-128409DiVA: diva2:1051977
Educational program
Master of Science Programme in Computing Science and Engineering
Supervisors
Examiners
Available from: 2016-12-06 Created: 2016-12-05 Last updated: 2016-12-06Bibliographically approved

Open Access in DiVA

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CiteExportLink to record
Permanent link

Direct link
Cite
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