Multi-scale analysis

time-causal limit kernel

Introduced by Lindeberg in Time-causal and time-recursive spatio-temporal receptive fields

The time-causal limit kernel is a temporal smoothing kernel that is (i) time-causal, (ii) time-recursive and (iii) obeys temporal scale covariance. This kernel constitutes the limit case of coupling an infinite number of truncated exponential kernels in cascade, with specifically chosen time constants to obtain temporal scale covariance. For practical purposes, the infinite convolution operation can often be well approximated by a moderate number (4-8) truncated exponential kernels coupled in cascade. The discrete implementation can, in turn, be performed by a set of first-order recursive filters coupled in cascade.

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

Papers


Paper Code Results Date Stars

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories