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Time-recursive velocity-adapted spatio-temporal scale-space filters
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9081-2170
2001 (English)Report (Other academic)
Abstract [en]

This paper presents a framework for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of time-causality, time-recursivity, locality and adaptivity with respect to motion estimates, a family of spatio-temporal recursive filters is proposed and analysed. An important property of the proposed family of smoothing kernels is that the spatio-temporal covariance matrices of the discrete kernels obey similar transformation properties under Galilean transformations as for continuous smoothing kernels on continuous domains. Moreover, the proposed framework provides an efficient way to compute and generate non-separable scale-space representations without need for explicit external warping mechanisms or keeping extended temporal buffers of the past. The approach can thus be seen as a natural extension of recursive scale-space filters from pure temporal data to spatio-temporal domains.

Receptive field profiles generated by the proposed theory show high qualitative similarities to receptive field profiles recorded from biological vision.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2001. , 31 p.
Series
Trita-NA-P, 01:23
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-40160OAI: oai:DiVA.org:kth-40160DiVA: diva2:462759
Note
QC 20111208Available from: 2011-12-08 Created: 2011-09-13 Last updated: 2011-12-08Bibliographically approved

Open Access in DiVA

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Other links

http://www.csc.kth.se/cvap/abstracts/cvap258.html

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Lindeberg, Tony

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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