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

04/07/2015
by   Tony Lindeberg, et al.
0

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.

READ FULL TEXT
research
04/10/2015

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

We present an improved model and theory for time-causal and time-recursi...
research
10/13/2017

Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields

This work presents a first evaluation of using spatio-temporal receptive...
research
01/23/2017

Normative theory of visual receptive fields

This article gives an overview of a normative computational theory of vi...
research
01/09/2017

Temporal scale selection in time-causal scale space

When designing and developing scale selection mechanisms for generating ...
research
01/09/2017

Discrete approximations of the affine Gaussian derivative model for visual receptive fields

The affine Gaussian derivative model can in several respects be regarded...
research
03/01/2019

Provably scale-covariant networks from oriented quasi quadrature measures in cascade

This article presents a continuous model for hierarchical networks based...
research
03/11/2022

Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments

Several fields in science, from genomics to neuroimaging, require monito...

Please sign up or login with your details

Forgot password? Click here to reset