Bundle Block Adjustment with 3D Natural Cubic Splines

Point-based methods undertaken by experienced human operators are very effective for traditional photogrammetric activities, but they are not appropriate in the autonomous environment of digital photogrammetry. To develop more reliable and accurate techniques, higher level objects with linear featur...

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Main Authors: Kiyun Yu, Won Hee Lee
Format: Article
Language:English
Published: MDPI AG 2009-12-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/9/12/9629/
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author Kiyun Yu
Won Hee Lee
author_facet Kiyun Yu
Won Hee Lee
author_sort Kiyun Yu
collection DOAJ
description Point-based methods undertaken by experienced human operators are very effective for traditional photogrammetric activities, but they are not appropriate in the autonomous environment of digital photogrammetry. To develop more reliable and accurate techniques, higher level objects with linear features accommodating elements other than points are alternatively adopted for aerial triangulation. Even though recent advanced algorithms provide accurate and reliable linear feature extraction, the use of such features that can consist of complex curve forms is more difficult than extracting a discrete set of points. Control points that are the initial input data, and break points that are end points of segmented curves, are readily obtained. Employment of high level features increases the feasibility of using geometric information and provides access to appropriate analytical solutions for advanced computer technology.
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spelling doaj.art-a393ed9559794084a7d34df8b16814f02022-12-22T04:23:05ZengMDPI AGSensors1424-82202009-12-019129629966510.3390/s91209629Bundle Block Adjustment with 3D Natural Cubic SplinesKiyun YuWon Hee LeePoint-based methods undertaken by experienced human operators are very effective for traditional photogrammetric activities, but they are not appropriate in the autonomous environment of digital photogrammetry. To develop more reliable and accurate techniques, higher level objects with linear features accommodating elements other than points are alternatively adopted for aerial triangulation. Even though recent advanced algorithms provide accurate and reliable linear feature extraction, the use of such features that can consist of complex curve forms is more difficult than extracting a discrete set of points. Control points that are the initial input data, and break points that are end points of segmented curves, are readily obtained. Employment of high level features increases the feasibility of using geometric information and provides access to appropriate analytical solutions for advanced computer technology.http://www.mdpi.com/1424-8220/9/12/9629/bundle block adjustment3D natural cubic splinesarc-length parameterizationlinear featuresline photogrammetry
spellingShingle Kiyun Yu
Won Hee Lee
Bundle Block Adjustment with 3D Natural Cubic Splines
Sensors
bundle block adjustment
3D natural cubic splines
arc-length parameterization
linear features
line photogrammetry
title Bundle Block Adjustment with 3D Natural Cubic Splines
title_full Bundle Block Adjustment with 3D Natural Cubic Splines
title_fullStr Bundle Block Adjustment with 3D Natural Cubic Splines
title_full_unstemmed Bundle Block Adjustment with 3D Natural Cubic Splines
title_short Bundle Block Adjustment with 3D Natural Cubic Splines
title_sort bundle block adjustment with 3d natural cubic splines
topic bundle block adjustment
3D natural cubic splines
arc-length parameterization
linear features
line photogrammetry
url http://www.mdpi.com/1424-8220/9/12/9629/
work_keys_str_mv AT kiyunyu bundleblockadjustmentwith3dnaturalcubicsplines
AT wonheelee bundleblockadjustmentwith3dnaturalcubicsplines