Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • 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
Generic Object Class Detection using Boosted Configurations of Oriented Edges
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
2010 (engelsk)Inngår i: Computer Vision – ACCV 2010 / [ed] Kimmel, R; Klette, R; Sugimoto, A, Springer Berlin/Heidelberg, 2010, s. 1-14Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In this paper we introduce a new representation for shape-based object class detection. This representation is based on very sparse and slightly flexible configurations of oriented edges. An ensemble of such configurations is learnt in a boosting framework. Each edge configuration can capture some local or global shape property of the target class and the representation is thus not limited to representing and detecting visual classes that have distinctive local structures. The representation is also able to handle significant intra-class variation. The representation allows for very efficient detection and can be learnt automatically from weakly labelled training images of the target class. The main drawback of the method is that, since its inductive bias is rather weak, it needs a comparatively large training set. We evaluate on a standard database [1] and when using a slightly extended training set, our method outperforms state of the art [2] on four out of five classes.

sted, utgiver, år, opplag, sider
Springer Berlin/Heidelberg, 2010. s. 1-14
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6493
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-38597DOI: 10.1007/978-3-642-19309-5_1ISI: 000295546500001Scopus ID: 2-s2.0-79952494364ISBN: 978-364219308-8 (tryckt)OAI: oai:DiVA.org:kth-38597DiVA, id: diva2:437459
Konferanse
10th Asian Conference on Computer Vision, ACCV 2010; Queenstown; 8 November 2010 through 12 November 2010
Forskningsfinansiär
ICT - The Next GenerationTilgjengelig fra: 2011-08-29 Laget: 2011-08-29 Sist oppdatert: 2018-01-12bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Søk i DiVA

Av forfatter/redaktør
Danielsson, OscarCarlsson, Stefan
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 34 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • 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