Change search
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
Stabilizing Projected Points inAugmented Reality Applications
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Positioning projected points in a mobile Augmented Reality application based only on the orientation sensor of the device can cause instability due to variations in the sensor data. A method is proposed to use the image data from the camera feed of the device in order to stabilize the points. Point correspondences are found by matching features in subsequent frames, and a robust method is then used to determine a homography from these, which allows us to map between the two frames and thus correct for camera rotation.The implementation was evaluated on an Android smartphone and results indicate that this method can achieve close to real-time performance, taking on average 80 ms to produce a homography from a busyscene. The determined homographies can correct for camera rotations and produce only small errors in the positions. The choice of parameters is important to the results, and it should be noted that the method does not work for significant movement or low-detail situations.

Place, publisher, year, edition, pages
2014.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-155913OAI: oai:DiVA.org:kth-155913DiVA: diva2:763359
Examiners
Available from: 2014-11-19 Created: 2014-11-14 Last updated: 2014-11-19Bibliographically approved

Open Access in DiVA

fulltext(7937 kB)212 downloads
File information
File name FULLTEXT01.pdfFile size 7937 kBChecksum SHA-512
de982e7d21d1ba953d53e9b59d725dcefc0415299a514a0be4c692b0261e72e47444e2bbb19a645c0ba2abb7de994573a0f488935f1609a77809e139a39d08db
Type fulltextMimetype application/pdf

By organisation
School of Computer Science and Communication (CSC)
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 212 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 165 hits
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