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
Determination of the position and orientation of rigid bodies by using single camera images
Date
2007-07-04
Author
Kilic, Varlik
Platin, Bülent Emre
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
211
views
0
downloads
Cite This
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 rigidly attached. These six parameters represent the three basic translations and three basic rotations of the object with respect to camera coordinate system. The reconstruction algorithm is implemented and tested using an experimental setup composed of a digital imaging system and 6-DOF positioning unit. 512x512 pixels grayscale images are used to determine position and orientation of the secondary target with respect to the camera, which are controlled through the positioning unit. Theoretical accuracy limits of the reconstruction algorithm are evaluated and presented.
Subject Keywords
Camera calibration
,
3D reconstruction
,
Monocular vision
URI
https://hdl.handle.net/11511/53358
Conference Name
World Congress on Engineering 2007
Collections
Graduate School of Natural and Applied Sciences, Conference / Seminar
Suggestions
OpenMETU
Core
Performance improvement of a 3-D configuration reconstruction algorithm for an object using a single camera image
Özkılıç, Sibel; Platin, Bülent Emre; Department of Mechanical Engineering (2003)
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 auto...
Reconstruction of three dimensional models from real images
Yilmaz, U; Mulayim, A; Atalay, Mehmet Volkan (2002-06-21)
An image based model reconstruction system is described. Real images of a rigid object acquired under a simple but controlled environment are used to recover the three dimensional geometry and the surface appearance. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled The coarse volume obtained, is then carved using a stereo corre...
Iterative Photometric Stereo with Shadow and Specular Region Detection for 3D Reconstruction
BUYUKATALAY, Soner; BİRGÜL, ÖZLEM; Halıcı, Uğur (2009-04-11)
Photometric stereo is a 3D reconstruction algorithm that uses the images of an object with different light conditions and its performance is affected by the shades and specular regions in the images. Especially, the use of Lambert reflectance model results in errors in the reconstructed surface normals. In this study an iterative approach was used to generate masks corresponding to these problematic regions and the surface normals were reconstructed using a Lambert based algorithm that excludes these region...
Experimental study on the sensitivity of autocalibration to projective camera model parameters
Hassanpour, Reza; Atalay, Mehmet Volkan (2006-04-01)
Existing methods of 3-D object modeling and recovering 3-D data from uncalibrated 2-D images are subject to errors introduced by assumptions about camera parameters and mismatches in finding point pairs in the images. In this study, we experimentally evaluate the effect of each of these assumptions together with the inaccuracy in the measurements in the images. Sensitivity of reconstruction errors to inaccuracies in the estimation of camera parameters and mismatches due to noise in input data is measured us...
Analysis of vision aided inertial navigation systems
Yuksel, Yigiter; Kaygisiz, H. Burak (2006-04-19)
We propose in this paper a method to integrate inertial navigation systems with electro optic imaging devices. Our method is based on updating the inertial navigation system in a Kalman filter structure using line of sight measurements obtained from a camera. The proposed method is analyzed based on a UAV scenario generated by our trajectory simulator and the results are provided here. The results show that even a single vision aid can improve the performance of inertial navigation system.
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
V. Kilic and B. E. Platin, “Determination of the position and orientation of rigid bodies by using single camera images,” presented at the World Congress on Engineering 2007, London, ENGLAND, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53358.