English

Separable time-causal and time-recursive spatio-temporal receptive fields

Computer Vision and Pattern Recognition 2021-01-25 v1 Neurons and Cognition

Abstract

We present an improved model and theory for time-causal and time-recursive spatio-temporal receptive fields, obtained by a combination of Gaussian receptive fields over the spatial domain and first-order integrators or equivalently truncated exponential filters coupled in cascade 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.

Keywords

Cite

@article{arxiv.1504.01502,
  title  = {Separable time-causal and time-recursive spatio-temporal receptive fields},
  author = {Tony Lindeberg},
  journal= {arXiv preprint arXiv:1504.01502},
  year   = {2021}
}

Comments

12 pages, 2 figures, 2 tables. arXiv admin note: substantial text overlap with arXiv:1404.2037

R2 v1 2026-06-22T09:11:24.442Z