Dissertation > Excellent graduate degree dissertation topics show
Measurement of Actual Antenna Based on Stereo Vision
Author: ZhangYuanYuan
Tutor: ChenMei
School: Xi'an University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Hoop-Column Deployable Antenna Stereo Vision Wide-angle Camera calibration Data Registration
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 10
Quote: 0
Read: Download Dissertation
Abstract
|
The purpose of the thesis is the application of stereo vision technology on measurement of an actual hoop-column deployable antenna structure, which is then to obtain3D coordinates of the antenna. The precision of the antenna structure will be reduced significantly as the antenna is made up of lightweight flexible material and is easily deformed by various external factors, so it must be measured.First, by generalizing the stereo vision theory and analyzing the structure of antenna, two kinds of schemes which are named the overall measurement and the data registration measurement are proposed.Second, the overall measurement of the antenna structure is implemented. For the overall measurement scheme, we prefer the wide-angle camera to the ordinary camera to get the image, since the size of antenna is relatively large and it is not able to get the whole image in focus by using the ordinary camera. By studying of the calibration method of wide-angle camera, we get calibrating parameters. Then the antenna structure can be measured based on stereo vision.Finally, for the data registration measurement scheme, we perform the measurement of the antenna structure based on the principle of data registration with coded points, while the Rodrigues parameters are introduced to describe the transition matrix.This paper studies the measurement method of antenna structure based on stereo vision, and takes experiments on an actual antenna structure, which has a certain reference value for the measurement and analysis of the antenna structure.
|
Related Dissertations
- Research on Key Technologies for Binocular Stereo Vision,TP391.41
- Target Range Based on Visual and Infrared Automotive Night Vision System,TP391.41
- A Self-calibration Method of Camera Based on Binocular Stereo Vision,TP391.41
- Research and Implementation of 3D Reconstruction Algorithm Based on Computer Vision,TP391.41
- Underwater 3D Reconstruction Based on Binocular Stereo Vision,TP391.41
- Application of Geometric Algebra for 3D Reconstruction in Computer Vision,TP391.41
- The Research of Building Three-Dimension Reconstruction Based on Laser Scanned Point Cloud Data,TP391.41
- Implementation on the Technology of Multiview Reconstruction Based on Binocular Stereo Vision,TP391.41
- The Research of Form Measurement for Large Scale Object Based on the Coordinate Measuring Machine,TP391.41
- Research of Binocular Vision Algorithm and Design the System Based on DSP,TP391.41
- Camera Sync and particle trajectories to obtain three-dimensional,TP391.41
- Edge Detection and 3-D Digitalization of the Hypoid Gear Contact Spot,TH132.41
- Binocular stereo vision based on three-dimensional face modeling technology research,TP391.41
- 3D Fingertip Detection Algorithm and Application Based on Computer Vision,TP391.41
- Stereo Image Rectification and Image Stitching Based on Fisheye Lens,TP391.41
- Measurement and Analysis of Antenna Mesh Surface Based on Image,TN820
- Based on stereo vision crane collision prediction,TP391.41
- A Study on Three Dimensional Reconstruction Based on Projection of Virtual Height Line,TP391.41
- Research on Passenger Counting Unit Algorithm and Its Implementation in TMS320DM642 System,TP391.41
- Target Recognition and Location Based on Binocular Stereo Vision,TP391.41
- Research on Clearance Intrusion Detection System for High-speerd Railway Based on Binocular Stereo Vision,TP391.41
CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net Mobile
|