Projective Geometry in Photogrammetry

碩士 === 臺灣大學 === 土木工程學研究所 === 95 ===   The collinearity equation is commonly used to estimate the best result when determining orientation parameters. This method is rigorous, but because it belongs to systems of non-linear equations, it is necessary to use parameter approximations and the iteration...

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Main Authors: Chieh-Wen Cheng, 鄭傑文
Other Authors: 趙鍵哲
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/38500535737772825002
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spelling ndltd-TW-095NTU050151342015-10-13T13:55:55Z http://ndltd.ncl.edu.tw/handle/38500535737772825002 Projective Geometry in Photogrammetry 射影幾何於攝影測量之應用 Chieh-Wen Cheng 鄭傑文 碩士 臺灣大學 土木工程學研究所 95   The collinearity equation is commonly used to estimate the best result when determining orientation parameters. This method is rigorous, but because it belongs to systems of non-linear equations, it is necessary to use parameter approximations and the iteration process to get convergent results. Projective geometry provides an alternative method for representing and transforming geometric entities, and transfers the complicated non-linear problems in photogrammetry into simple linear cases. The results can then be treated as the approximations for the rigorous non-linear system. Projective geometry also produces estimates of orientation parameters and epipolar images that are of similar quality as the results yielded by using the common collinearity and coplanarity methods. It is a possible substitute procedure, which supports automated calculation, to the collinearity and coplanarity methods for photogrammetry issues.   This study consists of two parts. The first part is a comparative study between using the collinearity method and the projective geometry method to determine orientation parameters and intersecting ground points. The second part is a comparative study between using the coplanarity method and the projective geometry method to solve epipolar geometry. The first part tested, via simulated experiments, several factors that would affect the results in determining the orientation parameters and the coordinates of ground points, such as the accuracy of control points, the accuracy of observations, the number of control points, and the distribution of control points. Actual aerial and close-range photos were used to execute the resection, intersection and epipolar image solving process. After analyzing the data, the feasibility of the projective geometry in photogrammetry was verified. 趙鍵哲 2007 學位論文 ; thesis 157 zh-TW
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description 碩士 === 臺灣大學 === 土木工程學研究所 === 95 ===   The collinearity equation is commonly used to estimate the best result when determining orientation parameters. This method is rigorous, but because it belongs to systems of non-linear equations, it is necessary to use parameter approximations and the iteration process to get convergent results. Projective geometry provides an alternative method for representing and transforming geometric entities, and transfers the complicated non-linear problems in photogrammetry into simple linear cases. The results can then be treated as the approximations for the rigorous non-linear system. Projective geometry also produces estimates of orientation parameters and epipolar images that are of similar quality as the results yielded by using the common collinearity and coplanarity methods. It is a possible substitute procedure, which supports automated calculation, to the collinearity and coplanarity methods for photogrammetry issues.   This study consists of two parts. The first part is a comparative study between using the collinearity method and the projective geometry method to determine orientation parameters and intersecting ground points. The second part is a comparative study between using the coplanarity method and the projective geometry method to solve epipolar geometry. The first part tested, via simulated experiments, several factors that would affect the results in determining the orientation parameters and the coordinates of ground points, such as the accuracy of control points, the accuracy of observations, the number of control points, and the distribution of control points. Actual aerial and close-range photos were used to execute the resection, intersection and epipolar image solving process. After analyzing the data, the feasibility of the projective geometry in photogrammetry was verified.
author2 趙鍵哲
author_facet 趙鍵哲
Chieh-Wen Cheng
鄭傑文
author Chieh-Wen Cheng
鄭傑文
spellingShingle Chieh-Wen Cheng
鄭傑文
Projective Geometry in Photogrammetry
author_sort Chieh-Wen Cheng
title Projective Geometry in Photogrammetry
title_short Projective Geometry in Photogrammetry
title_full Projective Geometry in Photogrammetry
title_fullStr Projective Geometry in Photogrammetry
title_full_unstemmed Projective Geometry in Photogrammetry
title_sort projective geometry in photogrammetry
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/38500535737772825002
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