Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Noise-resistant invariants of curves
62
Zitationen
1
Autoren
1993
Jahr
Abstract
Projective invariants are shape descriptors that are independent of the point of view from which the shape is seen, and, therefore, 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 for searching for the correct viewpoint. An invariant representation of a general curve is obtained. The calculation is local and does not suffer from the occlusion problem of global descriptors. To make the method robust, differentiation techniques that give much more reliable results than previous ones are developed. These differentiation methods are useful in many other applications as well.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Ähnliche Arbeiten
ImageNet: A large-scale hierarchical image database
2009 · 61.466 Zit.
ImageNet Large Scale Visual Recognition Challenge
2015 · 40.046 Zit.
Learning Multiple Layers of Features from Tiny Images
2024 · 25.472 Zit.
Textural Features for Image Classification
1973 · 22.413 Zit.
Pattern Classification
2012 · 19.520 Zit.