Pattern Recognition and Image Analysis

, Volume 22, Issue 2, pp 380–385

A projection local image descriptor

Representation, Processing, Analysis, and Understanding of Images

DOI: 10.1134/S1054661812020162

Cite this article as:
Sorokin, D.V. & Krylov, A.S. Pattern Recognit. Image Anal. (2012) 22: 380. doi:10.1134/S1054661812020162

Abstract

This paper presents a projection local image descriptor. The projection local image descriptor construction is based on the local image expansion into the set of Gauss-Laguerre circular harmonic functions in the support region of a keypoint. The keypoints detection method is considered. It is also based on the analysis of image projections on the set of Gauss-Laguerre circular harmonic functions. The efficient technique for descriptors elements computation is introduced. The 2D Hermite projection method is used to accelerate the local image descriptors construction. The proposed approach is tested on the task of image points matching. The test results approved the ability of acceleration of descriptors construction process up to several times.

Keywords

Gauss-Laguerre circular harmonic functions Hermite functions projection method image keypoints local image descriptor keypoints matching 

Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  1. 1.Centre for Biomedical Image Analysis, Faculty of InformaticsMasaryk UniversityBrnoCzech Republic
  2. 2.Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and CyberneticsMoscow State UniversityMoscowRussia

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