hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Comparison of Salient Feature Descriptors
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2008 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

In robot navigation, and image content searches reliable salient features are of pivotal importance. Also in biometric human recognition, salient features are increasingly used.

Regardless the application, image matching is one of the many problems in computer

vision, including object recognition.

This report investigates some salient features to match sub-images of different images.

An underlying assumption is that sub-images, also called image objects, or objects, are

possible to recognize by the salient features that can be recognized independently.

Since image objects are images of 3D objects, the salient features in 2D images must be

invariant to reasonably large viewing direction and distance (scale) changes. These

changes are typically due to 3D rotations and translations of the 3D object with respect to

the camera. Other changes that influence the matching of two 2D image objects is

illumination changes, and image acquisition noise.

This thesis will discuss how to find the salient features and will compare them with

respect to their matching performance. Also it will explore how these features are

invariant to rotation and scaling.

Place, publisher, year, edition, pages
Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data- och Elektroteknik (IDE) , 2008.
Keywords [en]
Salient Feature, image matching
Identifiers
URN: urn:nbn:se:hh:diva-1145Local ID: 2082/1524OAI: oai:DiVA.org:hh-1145DiVA, id: diva2:238363
Uppsok
Technology
Available from: 2008-02-25 Created: 2008-02-25 Last updated: 2008-02-25

Open Access in DiVA

fulltext(1568 kB)489 downloads
File information
File name FULLTEXT01.pdfFile size 1568 kBChecksum MD5
c9b03d20ddff4f1750b3ff937dc7526df7e3c58390d51abd29ed43d10b42476de0b0476bc9f4cea9e5f323766d47a39ddfa7297bfc41bc11622866b2d98b77c9002c85004f7bf2dc7df282c219251cc1
Type fulltextMimetype application/pdf

By organisation
School of Information Science, Computer and Electrical Engineering (IDE)

Search outside of DiVA

GoogleGoogle Scholar
Total: 489 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: 136 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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