Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Performance improvement of a 3-D configuration reconstruction algorithm for an object using a single camera image
Download
index.pdf
Date
2003
Author
Özkılıç, Sibel
Metadata
Show full item record
Item Usage Stats
181
views
0
downloads
Cite This
Performance improvement of a 3-D configuration reconstruction algorithm using a passive secondary target has been focused in this study. In earlier studies, a theoretical development of the 3-D configuration reconstruction algorithm was achieved and it was implemented by a computer program on a system consisting of an optical bench and a digital imaging system. The passive secondary target used was a circle with two internal spots. In order to use this reconstruction algorithm in autonomous systems, an automatic target recognition algorithm has been developed in this study. Starting from a pre-captured and stored 8-bit gray-level image, the algorithm automatically detects the elliptical image of a circular target and determines its contour in the scene. It was shown that the algorithm can also be used for partially captured elliptical images. Another improvement achieved in this study is the determination of internal camera parameters of the vision system.
Subject Keywords
Calibration
,
Cameras
,
Image processing
URI
http://etd.lib.metu.edu.tr/upload/1095793/index.pdf
https://hdl.handle.net/11511/13850
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Determination of the position and orientation of rigid bodies by using single camera images
Kilic, Varlik; Platin, Bülent Emre (2007-07-04)
This study aims to present a new reconstruction method which enables reconstruction of 3D configuration of an object using single camera images. A secondary planar target which is a white circle with two internal black spots, one is located at the center, is used. The proposed reconstruction method is monocular and non-iterative. The elliptical contour and spot center locations of the target in an image is used to determine the 6-DOF configuration parameters of an object, on which the secondary target is ri...
Performance Comparison of Different Sparse Array Configurations for Ultra-Wideband, Near-field Imaging Applications
Cetin, Beyzat Talat; Alatan, Lale (2017-03-24)
The aim of this study is to compare the performance of different multiple-input multiple-output (MIMO) array topologies, intended to be used in ultra-wideband (UWB) near-field imaging applications, by using an analysis method that does not include the effects of image reconstruction algorithm. For this purpose, maximum projection method, previously proposed for the analysis of UWB arrays under far-field conditions, is utilized and modified to obtain two way beam patterns of UWB arrays operating in the near-...
Prediction of slip in cable-drum systems using structured neural networks
KILIÇ, Ergin; Dölen, Melik (SAGE Publications, 2014-02-01)
This study focuses on the slip prediction in a cable-drum system using artificial neural networks for the prospect of developing linear motion sensing scheme for such mechanisms. Both feed-forward and recurrent-type artificial neural network architectures are considered to capture the slip dynamics of cable-drum mechanisms. In the article, the network development is presented in a progressive (step-by-step) fashion for the purpose of not only making the design process transparent to the readers but also hig...
Evaluation of UAS Camera Operator Interfaces in a Simulated Task Environment An Optical Brain Imaging Approach
Çakır, Murat Perit; Akay, Daryal; Ayaz, Hasan; İşler, Veysi (null; 2012-07-11)
In this paper we focus on the effect of different interface designs on the performance and cognitive workload of sensor operators (SO) during a target detection task in a simulated environment. Functional near-infrared (fNIR) spectroscopy is used to investigate whether there is a relationship between target detection performance across three SO interfaces and brain activation data obtained from the subjects’ prefrontal cortices that are associated with relevant higher-order cognitive functions such as atten...
Vibration-based damage identification in beam-like composite laminates by using artificial neural networks
Şahin, Melin (SAGE Publications, 2003-01-01)
This paper investigates the effectiveness of the combination of global (changes in natural frequencies) and local (curvature mode shapes) vibration-based analysis data as input for artificial neural networks (ANNs) for location and severity prediction of damage in fibre-reinforced plastic laminates. A finite element analysis tool has been used to obtain the dynamic characteristics of intact and damaged cantilever composite beams for the first three natural modes. Different damage scenarios have been introdu...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Özkılıç, “Performance improvement of a 3-D configuration reconstruction algorithm for an object using a single camera image,” M.S. - Master of Science, Middle East Technical University, 2003.
