The Recovery of Reference Plane of Objects using a Dual-CCD Image System
碩士 === 大葉大學 === 機械工程研究所碩士班 === 96 === Imagine recognition technique plays an important role in industrial automation. Spatial information recovering from 2D images is one of key element of imagine processing technique. This study develops a method based on the parity of two images to recover the 3D...
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ndltd-TW-096DYU004880572015-11-30T04:02:51Z http://ndltd.ncl.edu.tw/handle/85335865108200648938 The Recovery of Reference Plane of Objects using a Dual-CCD Image System 以雙影像系統建立物件空間基準面之研究 JIA-WEI JHANG 張家維 碩士 大葉大學 機械工程研究所碩士班 96 Imagine recognition technique plays an important role in industrial automation. Spatial information recovering from 2D images is one of key element of imagine processing technique. This study develops a method based on the parity of two images to recover the 3D information of an object from 2D images. First, the 2D information of the characteristic points of left and right images is extracted from, then the 3D information of these characteristic points is recovered using the method developed in this study and the parameters of the CCD system. These points’ 3D information is then used to construct a reference plane by using the least square method and Newton’s method. Three examples are given to demonstrate the feasibility of the proposed method. The real positions of the object are known. The comparison results show that the proposed method can recover the object’s 3D information. The error of normal vector and the mid-point coordination of the reference plane calculated from the recovered 3D information are within the acceptable range. Hua-Wei Chi 紀華偉 2008 學位論文 ; thesis 85 zh-TW |
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碩士 === 大葉大學 === 機械工程研究所碩士班 === 96 === Imagine recognition technique plays an important role in industrial automation. Spatial information recovering from 2D images is one of key element of imagine processing technique. This study develops a method based on the parity of two images to recover the 3D information of an object from 2D images. First, the 2D information of the characteristic points of left and right images is extracted from, then the 3D information of these characteristic points is recovered using the method developed in this study and the parameters of the CCD system. These points’ 3D information is then used to construct a reference plane by using the least square method and Newton’s method. Three examples are given to demonstrate the feasibility of the proposed method. The real positions of the object are known. The comparison results show that the proposed method can recover the object’s 3D information. The error of normal vector and the mid-point coordination of the reference plane calculated from the recovered 3D information are within the acceptable range.
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Hua-Wei Chi |
author_facet |
Hua-Wei Chi JIA-WEI JHANG 張家維 |
author |
JIA-WEI JHANG 張家維 |
spellingShingle |
JIA-WEI JHANG 張家維 The Recovery of Reference Plane of Objects using a Dual-CCD Image System |
author_sort |
JIA-WEI JHANG |
title |
The Recovery of Reference Plane of Objects using a Dual-CCD Image System |
title_short |
The Recovery of Reference Plane of Objects using a Dual-CCD Image System |
title_full |
The Recovery of Reference Plane of Objects using a Dual-CCD Image System |
title_fullStr |
The Recovery of Reference Plane of Objects using a Dual-CCD Image System |
title_full_unstemmed |
The Recovery of Reference Plane of Objects using a Dual-CCD Image System |
title_sort |
recovery of reference plane of objects using a dual-ccd image system |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/85335865108200648938 |
work_keys_str_mv |
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