1992
@incollection{Bro1992,
vgclass = {refpap},
vgproject = {invariance},
author = {Christopher Brown},
title = {Numerical Evaluation of Differential and Semi-Differential
Invariants},
editor = {Joseph Mundy and Andrew Zisserman},
booktitle = {Geometric Invariance in Computer Vision},
address = {Cambridge, MA, USA},
series = {Series: Artificial intelligence},
pages = {215--227},
publisher = {The MIT Press},
year = {1992},
abstract = {The goal of this chapter is to illuminate to some extent
the behaviour of some of the differential invariants and
semi-invariants that are mentioned elsewhere in this volume. A
straightforward implementation of Wilczynski's differential projective
invariants $\Theta_3$ and $\Theta_8$, Weiss's differential
semi-invariants $P_2$ and $P_3$, and Van Gool's semi-differential
invariants $\tau_1(t)$ and $\tau_2(t)$ is used to give a qualitative
idea of the behaviour of these invariants as a function of curve
sampling rates and numerical precision in positional measurements. The
results also give a qualitative feeling for how useful these invariant
representations might be for matching and recognition.},
}