Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing

碩士 === 國立中興大學 === 機械工程學系所 === 96 === Every single view profile information obtained by measurement system has it’s own measurement error. Though executing the range image registration in all view could reduce the errors between every view to the best of it’s possible, there are calculational errors...

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Main Authors: Wuu-Jay Lai, 賴武傑
Other Authors: Ji-Chun Lee
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/93682570707482195661
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spelling ndltd-TW-096NCHU53110422016-05-09T04:13:41Z http://ndltd.ncl.edu.tw/handle/93682570707482195661 Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing 薄殼有限元素於形貌註冊與表面平滑化之應用 Wuu-Jay Lai 賴武傑 碩士 國立中興大學 機械工程學系所 96 Every single view profile information obtained by measurement system has it’s own measurement error. Though executing the range image registration in all view could reduce the errors between every view to the best of it’s possible, there are calculational errors made form shape integrated. It causes the erroneous faults occur between every range image and any other range images which overlapping. This paper describes using triangular thin-shell finite elements to mesh every singe view range image. For seeking the corresponding relationship between every single view profile, we determine the overlaps with other range images to find out the all nodes’ corresponding points. After that we use the virtual springs which original lengths are zero to connect them, and use the spring’s restoring force to minimize the whole error of range images and reduce the influence about object’s surface profile to get the whole contours of component. Ji-Chun Lee 李吉群 學位論文 ; thesis 55 zh-TW
collection NDLTD
language zh-TW
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sources NDLTD
description 碩士 === 國立中興大學 === 機械工程學系所 === 96 === Every single view profile information obtained by measurement system has it’s own measurement error. Though executing the range image registration in all view could reduce the errors between every view to the best of it’s possible, there are calculational errors made form shape integrated. It causes the erroneous faults occur between every range image and any other range images which overlapping. This paper describes using triangular thin-shell finite elements to mesh every singe view range image. For seeking the corresponding relationship between every single view profile, we determine the overlaps with other range images to find out the all nodes’ corresponding points. After that we use the virtual springs which original lengths are zero to connect them, and use the spring’s restoring force to minimize the whole error of range images and reduce the influence about object’s surface profile to get the whole contours of component.
author2 Ji-Chun Lee
author_facet Ji-Chun Lee
Wuu-Jay Lai
賴武傑
author Wuu-Jay Lai
賴武傑
spellingShingle Wuu-Jay Lai
賴武傑
Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing
author_sort Wuu-Jay Lai
title Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing
title_short Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing
title_full Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing
title_fullStr Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing
title_full_unstemmed Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing
title_sort application of thin-shell finite elements in range image registration and surface smoothing
url http://ndltd.ncl.edu.tw/handle/93682570707482195661
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