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Separable time-causal and time-recursive spatio-temporal receptive fields
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST). (Computational Brain Science Lab)ORCID iD: 0000-0002-9081-2170
2015 (English)Report (Other academic)
Abstract [en]

We present an improved model and theory for time-causal and time-recursive spatio-temporal receptive fields, obtained by a combi- nation of Gaussian receptive fields over the spatial domain and first-order integrators or equivalently truncated exponential filters coupled in cas- cade over the temporal domain. Compared to previous spatio-temporal scale-space formulations in terms of non-enhancement of local extrema or scale invariance, these receptive fields are based on different scale-space axiomatics over time by ensuring non-creation of new local extrema or zero-crossings with increasing temporal scale. Specifically, extensions are presented about parameterizing the intermediate temporal scale levels, analysing the resulting temporal dynamics and transferring the theory to a discrete implementation in terms of recursive filters over time.

Place, publisher, year, edition, pages
2015. , p. 13
National Category
Computer graphics and computer vision
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-346055OAI: oai:DiVA.org:kth-346055DiVA, id: diva2:1855609
Funder
Swedish Research Council, 2010-4766, 2014-4083
Note

QC 20240502

Available from: 2024-05-02 Created: 2024-05-02 Last updated: 2025-02-07Bibliographically approved

Open Access in DiVA

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arXiv:1504.01502

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Lindeberg, Tony
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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