elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

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.

Full text not available from this repository.

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 AuthorsAuthor's ORCID iDORCID Put Code
Sharif, HeliaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hölzel, MatthewUniversität BremenUNSPECIFIEDUNSPECIFIED
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:
EditorsEmailEditor's ORCID iDORCID Put Code
Armengol, EvaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Boixader, DionisUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Grimaldo, FranciscoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
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:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Optical navigation on hybrid avionics architecture
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:02 Nov 2023 13:33

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.