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L773:1939 3539
 

Sökning: L773:1939 3539 > (1990-1994) > Multidimensional or...

  • Bigun, JosefLinköpings universitet,Bildbehandling,Tekniska högskolan (författare)

Multidimensional orientation estimation with applications to texture analysis and optical flow

  • Artikel/kapitelEngelska1991

Förlag, utgivningsår, omfång ...

  • Institute of Electrical and Electronics Engineers (IEEE),1991
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:liu-21590
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-21590URI
  • https://doi.org/10.1109/34.85668DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • The problem of detection of orientation in finite dimensional Euclidean spaces is solved in the least squares sense. In particular, the theory is developed for the case when such orientation computations are necessary at all local neighborhoods of the n-dimensional Euclidean space. Detection of orientation is shown to correspond to fitting an axis or a plane to the Fourier transform of an n-dimensional structure. The solution of this problem is related to the solution of a well-known matrix eigenvalue problem. Moreover, it is shown that the necessary computations can be performed in the spatial domain without actually doing a Fourier transformation. Along with the orientation estimate, a certainty measure, based on the error of the fit, is proposed. Two applications in image analysis are considered: texture segmentation and optical flow. An implementation for 2-D (texture features) as well as 3-D (optical flow) is presented. In the case of 2-D, the method exploits the properties of the complex number field to by-pass the eigenvalue analysis, improving the speed and the numerical stability of the method. The theory is verified by experiments which confirm accurate orientation estimates and reliable certainty measures in the presence of noise. The comparative results indicate that the proposed theory produces algorithms computing robust texture features as well as optical flow. The computations are highly parallelizable and can be used in realtime image analysis since they utilize only elementary functions in a closed form (up to dimension 4) and Cartesian separable convolutions.

Ämnesord och genrebeteckningar

  • TECHNOLOGY
  • TEKNIKVETENSKAP

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Granlund, Gösta H.Linköpings universitet,Bildbehandling,Tekniska högskolan(Swepub:liu)gosgr20 (författare)
  • Wiklund, JohanLinköpings universitet,Bildbehandling,Tekniska högskolan(Swepub:liu)johwi57 (författare)
  • Linköpings universitetBildbehandling (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:IEEE Transactions on Pattern Analysis and Machine Intelligence: Institute of Electrical and Electronics Engineers (IEEE)13:8, s. 775-7900162-88281939-3539

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Av författaren/redakt...
Bigun, Josef
Granlund, Gösta ...
Wiklund, Johan
Artiklar i publikationen
IEEE Transaction ...
Av lärosätet
Linköpings universitet

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