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Bundle block adjustment with three-d...

Lee, Won Hee.

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Bundle block adjustment with three-dimensional natural cubic splines.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bundle block adjustment with three-dimensional natural cubic splines./
作者:	Lee, Won Hee.
面頁冊數:	131 p.
附註:	Advisers: Anton F. Schenk; Alper Yilmaz.
Contained By:	Dissertation Abstracts International69-07B.
標題:	Geodesy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3321354
ISBN:	9780549725312

Bundle block adjustment with three-dimensional natural cubic splines.
Lee, Won Hee.

Bundle block adjustment with three-dimensional natural cubic splines. - 131 p.

Advisers: Anton F. Schenk; Alper Yilmaz.

Thesis (Ph.D.)--The Ohio State University, 2008.

One of the major tasks in digital photogrammetry is to determine the orientation parameters of aerial imageries correctly and quickly, which involves two primary steps of interior orientation and exterior orientation. Interior orientation defines a transformation to a 3D image coordinate system with respect to the camera's perspective center, while a pixel coordinate system is the reference system for a digital image, using the geometric relationship between the photo coordinate system and the instrument coordinate system. While the aerial photography provides the interior orientation parameters, the problem is reduced to determine the exterior orientation with respect to the object coordinate system. Exterior orientation establishes the position of the camera projection center in the ground coordinate system and three rotation angles of the camera axis to represent the transformation between the image and the object coordinate system. Exterior orientation parameters (EOPs) of the stereo model consisting of two aerial imageries can be obtained using relative and absolute orientation. EOPs of multiple overlapping aerial imageries can be computed using bundle block adjustment. Bundle block adjustment reduces the cost of field surveying in difficult areas and verifies the accuracy of field surveying during the process of bundle block adjustment. Bundle block adjustment is a fundamental task in many applications, such as surface reconstruction, orthophoto generation, image registration and object recognition.

ISBN: 9780549725312Subjects--Topical Terms:

550741
Geodesy.

Bundle block adjustment with three-dimensional natural cubic splines.
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500 $a Advisers: Anton F. Schenk; Alper Yilmaz.
500 $a Source: Dissertation Abstracts International, Volume: 69-07, Section: B, page: .
502 $a Thesis (Ph.D.)--The Ohio State University, 2008.
520 $a One of the major tasks in digital photogrammetry is to determine the orientation parameters of aerial imageries correctly and quickly, which involves two primary steps of interior orientation and exterior orientation. Interior orientation defines a transformation to a 3D image coordinate system with respect to the camera's perspective center, while a pixel coordinate system is the reference system for a digital image, using the geometric relationship between the photo coordinate system and the instrument coordinate system. While the aerial photography provides the interior orientation parameters, the problem is reduced to determine the exterior orientation with respect to the object coordinate system. Exterior orientation establishes the position of the camera projection center in the ground coordinate system and three rotation angles of the camera axis to represent the transformation between the image and the object coordinate system. Exterior orientation parameters (EOPs) of the stereo model consisting of two aerial imageries can be obtained using relative and absolute orientation. EOPs of multiple overlapping aerial imageries can be computed using bundle block adjustment. Bundle block adjustment reduces the cost of field surveying in difficult areas and verifies the accuracy of field surveying during the process of bundle block adjustment. Bundle block adjustment is a fundamental task in many applications, such as surface reconstruction, orthophoto generation, image registration and object recognition.
520 $a The stereo model consisting of two imageries with twelve EOPs is a common orientation model. Five unknowns are solved from relative orientation and seven unknowns three shifts, three rotations, and one scale factor are determined from absolute orientation. In traditional photogrammetry, all orientation procedures are performed manually with a photogrammetric operator. Fiducial marks which define the photo coordinate system while they define the pixel coordinate system in digital photogrammetry are employed in interior orientation which is image reconstruction with respect to perspective center. Matching conjugate entities play a role in relative orientation and ground control points (GCPs) are adopted in absolute orientation to calculate the object space coordinate system. Point-based procedure's relationship between point primitives is most widely developed in traditional photogrammetry. Further application and analysis relies on a point as primary input data. The coefficients of interior, relative and absolute orientation are computed from point relationship. Interior orientation compensates for lens distortion, film shrinkage, scanner error and atmosphere refraction. Relative orientation makes the stereoscopic view possible, and the relationship between the model coordinate system and the object space coordinate system is reconstructed by absolute orientation. Using GCPs is a common method to compute the orientation parameters. However, employing a lot of GCPs is a time consuming procedure and blocks the robust and accurate automation of what research on digital photogrammetry has aimed to accomplish since development of a computer, storage capacity, photogrammetric software and a digital camera.
520 $a Point-based methods with experienced human operators are processed well in traditional photogrammetric activities but not the autonomous environment of digital photogrammetry. To develop more robust and accurate techniques, higher level objects of straight linear features accommodating elements other than points are adopted instead of points in aerial triangulation. Even though recent advanced algorithms provide accurate and reliable linear feature extraction, extracting linear features is more difficult than extracting a discrete set of points which can consist of any form of curves. Control points which are the initial input data and break points which are end points of piecewise curves are easily obtained with manual digitizing, edge operators or interest operators. Employing high level features increase the feasibility of geometric information and provide an analytical and suitable solution for the advanced computer technology.
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