Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Depth reconstruction uncertainty analysis and improvement: The dithering approach
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, Avdelningen för elektroteknik.
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, Avdelningen för elektroteknik.ORCID-id: 0000-0003-4327-117X
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, Avdelningen för elektroteknik.
Ansvarlig organisasjon
2010 (engelsk)Inngår i: Image and Vision Computing, ISSN 0262-8856, E-ISSN 1872-8138, Vol. 29, nr 9, s. 1377-1385Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The depth spatial quantization uncertainty is one of the factors which influence the depth reconstruction accuracy caused by a discrete sensor. This paper discusses the quantization uncertainty distribution, introduces a mathematical model of the uncertainty interval range, and analyzes the movements of the sensors in an Intelligent Vision Agent System. Such a system makes use of multiple sensors which control the deployment and autonomous servo of the system. This paper proposes a dithering algorithm which reduces the depth reconstruction uncertainty. The algorithm assures high accuracy from a few images taken by low-resolution sensors. The dither signal is estimated and then generated through an analysis of the iso-disparity planes. The signal allows for control of the camera movement. The proposed approach is validated and compared with a direct triangulation method. The simulation results are reported in terms of depth reconstruction error statistics. The physical experiment shows that the dithering method reduces the depth reconstruction error.

sted, utgiver, år, opplag, sider
Elsevier , 2010. Vol. 29, nr 9, s. 1377-1385
Emneord [en]
Depth reconstruction, Dither, Iso-disparity planes, Quantization uncertainty
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-7772DOI: 10.1016/j.imavis.2010.03.003ISI: 000279506700005Lokal ID: oai:bth.se:forskinfo8EF778066FADD52BC12577580043C83EOAI: oai:DiVA.org:bth-7772DiVA, id: diva2:835434
Tilgjengelig fra: 2012-09-18 Laget: 2010-07-06 Sist oppdatert: 2017-12-04bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Personposter BETA

Khatibi, SiamakKulesza, Wlodek

Søk i DiVA

Av forfatter/redaktør
Khatibi, SiamakKulesza, Wlodek
Av organisasjonen
I samme tidsskrift
Image and Vision Computing

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 175 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf