Combined invariants to Gaussian blur and affine transformation

Kostková, Jitka; Flusser, Jan; Pedone, Matteo (2021-05-05)
 
Avaa tiedosto
Lataukset: 

URL:
https://doi.org/10.1109/ICPR48806.2021.9412436

Kostková, Jitka
Flusser, Jan
Pedone, Matteo
IEEE Computer Society
05.05.2021

J. Kostková, J. Flusser and M. Pedone, "Combined Invariants to Gaussian Blur and Affine Transformation," 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 459-464, doi: 10.1109/ICPR48806.2021.9412436

https://rightsstatements.org/vocab/InC/1.0/
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/ICPR48806.2021.9412436
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2021102151863
Tiivistelmä

Abstract

The paper presents a new theory of combined moment invariants to Gaussian blur and spatial affine transformation. The blur kernel may be arbitrary oriented, scaled and elongated. No prior information about the kernel parameters and about the underlaying affine transform is required. The main idea, expressed by the Substitution Theorem, is to substitute pure blur invariants into traditional affine moment invariants. Potential applications of the new descriptors are in blur-invariant image recognition and in robust template matching.

Kokoelmat