A High-Precision Localization Algorithm by Improved SIFT Key-Points

A High-Precision Localization Algorithm by Improved SIFT Key-Points

High-precision localization is getting more and more dependent on computer vision techniques. In this paper a novel high-precision localization algorithm based on improved SIFT (Scale Invariant Feature Transform) key-points is presented. First considering the drawback of original SIFT algorithm and...

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Hauptverfasser: Yang Yang, Yixu Song, Fangwen Zhai, Zhaozhou Fan, Yue Meng, Jiaxin Wang
Format: Tagungsbericht
Sprache:eng
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Application software
Bonding
Computer science
Computer vision
Feature extraction
Fourier transforms
Information science
Laboratories
Least squares methods
Pixel
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Yixu Song
Fangwen Zhai
Zhaozhou Fan
Yue Meng
Jiaxin Wang
description High-precision localization is getting more and more dependent on computer vision techniques. In this paper a novel high-precision localization algorithm based on improved SIFT (Scale Invariant Feature Transform) key-points is presented. First considering the drawback of original SIFT algorithm and the special application background, the proposed algorithm improves the SIFT key-point description and discards the most time-consuming step of SIFT algorithm. Then the new matching strategy and localization strategy are investigated to ensure the stability and precision of localization. Compared with conventional localization algorithm by SIFT key-point, this algorithm increases computation efficiency for about 20% and makes the precision more stable, which reaches 0.1 pixel.
doi_str_mv 10.1109/CISP.2009.5303161
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subjects Application software
Bonding
Computer science
Computer vision
Feature extraction
Fourier transforms
Information science
Laboratories
Least squares methods
Pixel
title A High-Precision Localization Algorithm by Improved SIFT Key-Points
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