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A Comparison of prefilters in ORB-based object detection

Sharif, Helia and Hölzel, Matthew (2017) A Comparison of prefilters in ORB-based object detection. Pattern Recognition Letters, 93, pp. 154-161. Elsevier. DOI: 10.1016/j.patrec.2016.11.007 ISSN 0167-8655

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Official URL: http://www.sciencedirect.com/science/article/pii/S0167865516303300

Abstract

In this paper, we study the effects of prefiltering on Oriented Fast and Rotated BRIEF (ORB)-based object detection. Specifically, we examine the trade-off between execution runtime and the minimum Hamming distance between matched feature descriptors, since ORB uses the minimum distance to determine whether the object is present. Furthermore, we introduce a covariance-based method of choosing the Hamming distance thresholds for each of the prefiltered ORB detectors which compares the minimum Hamming distance values for both positive and negative training images. We also use the same method to assess the prefilter performance.

Item URL in elib:https://elib.dlr.de/116538/
Document Type:Article
Title:A Comparison of prefilters in ORB-based object detection
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Sharif, HeliaHelia.Sharif (at) dlr.deUNSPECIFIED
Hölzel, MatthewUniversität BremenUNSPECIFIED
Date:1 July 2017
Journal or Publication Title:Pattern Recognition Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:93
DOI :10.1016/j.patrec.2016.11.007
Page Range:pp. 154-161
Editors:
EditorsEmail
Armengol, EvaUNSPECIFIED
Boixader, DionisUNSPECIFIED
Grimaldo, FranciscoUNSPECIFIED
Publisher:Elsevier
Series Name:Pattern Recognition Techniques in Data Mining
ISSN:0167-8655
Status:Published
Keywords:Keypoint recognition; Feature matching; Edge detection; Curve filter; Smoothing filter
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Bremen
Institutes and Institutions:Institute of Space Systems > Navigation and Control Systems
Deposited By: Sharif, Helia
Deposited On:05 Dec 2017 13:00
Last Modified:06 Sep 2019 15:17

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