Title :
Projective moment invariants
Author :
Suk, Tomas ; Flusser, Jan
Author_Institution :
Inst. of Inf. Theor. & Autom., Acad. of Sci. of the Czech Republic, Prague, Czech Republic
Abstract :
The paper is devoted to the moment invariants with respect to projective transform. It has been a common belief that such invariants do not exist. We show that projective moment invariants exist in a form of infinite series containing moments with positive as well as negative indices.
Keywords :
method of moments; object recognition; series (mathematics); transforms; infinite series; object recognition; projective moment invariants; projective transform; Cameras; Computer vision; Image analysis; Jacobian matrices; Layout; Mobile robots; Navigation; Object recognition; Polynomials; Transforms; Index Terms- Projective transform; moment invariants; object recognition.; Algorithms; Artificial Intelligence; Cluster Analysis; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2004.89
