JOURNAL ARTICLE

A projection local image descriptor

Dmitry V. SorokinA. S. Krylov

Year: 2012 Journal:   Pattern Recognition and Image Analysis Vol: 22 (2)Pages: 380-385   Publisher: Pleiades Publishing

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:
Projection (relational algebra) Artificial intelligence Image (mathematics) Mathematics Computer vision Set (abstract data type) Pattern recognition (psychology) Matching (statistics) Computer science Algorithm

Metrics

5
Cited By
0.28
FWCI (Field Weighted Citation Impact)
13
Refs
0.59
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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