1993
@article{Wei1993,
vgclass = {refpap},
vgproject = {invariance},
author = {Issac Weiss},
title = {Noise-resistant invariants of curves},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {15},
number = {9},
pages = {943--948},
month = {September},
year = {1993},
abstract = {Projective invariants are shape descriptors that are
independent of the point of view from which the shape is seen, and
therefore, they are of major importance in object recognition. They
make it possible to match an image of an object to one stored in a
database without the need to search for the correct viewpoint. In this
paper, we obtain an invariant representation (``signature'') of a
general curve. the calculation is local and does not suffer from the
occlusion problem of global descriptors. To make the method robust, we
have developed differentiation techniques that give much more reliable
results than previous ones. These differentiation methods are useful in
many other applications as well.},
}