Extensions of Invariant Signatures for Object Recognition

Authors:
Daniel J. Hoff;Peter J. Olver
Affiliations:
Department of Mathematics, University of California, San Diego, La Jolla, USA 92093;School of Mathematics, University of Minnesota, Minneapolis, USA 55455
Venue:
Journal of Mathematical Imaging and Vision
Year:
2013

Citing 4
Cited 3

3D Part Segmentation Using Simulated Electrical Charge Distributions

IEEE Transactions on Pattern Analysis and Machine Intelligence
Differential and Numerically Invariant Signature Curves Applied to Object Recognition

International Journal of Computer Vision
Numerically Invariant Signature Curves

International Journal of Computer Vision
Invariant Signatures of Closed Planar Curves

Journal of Mathematical Imaging and Vision

Planar Numerical Signature Theory Applied to Object Recognition

Journal of Mathematical Imaging and Vision
Automatic Solution of Jigsaw Puzzles

Journal of Mathematical Imaging and Vision
Identifying the writer of ancient inscriptions and Byzantine codices. A novel approach

Computer Vision and Image Understanding

Quantified Score

Hi-index	0.00

Visualization

Abstract

A refinement of the method of differential invariant signatures for object recognition is presented. The value of the method lies in its compromise between local and global identifying properties, thereby allowing us to distinguish non-congruent curves whose Euclidean signatures have identical trace.