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Registration approaches for noisy 3D data representing natural scenes
2006 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Registration of 3D data, in order to obtain 3D models, has been an area where much research has been done. Several different approaches and algorithms have been proposed during the years but the Iterative Closest Point algorithm is still, even though it has been almost 15 years since it was presented, one of the most popular approaches for solving registration problems. Most of the applications of the ICP algorithm have assumed static scenes as statues, toys, buildings and cultural heritage. An interesting scenario, that has not been as frequently treated, is how the ICP algorithm deals with non-static scenes containing mostly forest and vegetation where some parts in the scene might move, due to wind, between different views. The main purpose with this thesis is to evaluate how the ICP algorithm deals with data representing noisy natural scenes. Some extensions of the ICP algorithm are implemented as well as a keypoint extraction approach. The keypoint extraction aims to find static points, which are reliable for registration, in the non-static scenes. A brief discussion about change detection, and whether the ICP algorithm can be used for change detection purposes, will also be held. In this thesis it is shown that the ICP algorithm can produce a decent registration of partially overlapping views representing non-static scenes. Unfortunately, the average alignment error in the registered views is larger than the laser range scanners measurement accuracy.

Place, publisher, year, edition, pages
2006.
Keyword [en]
Technology, Registration, 3D, laser range scanner, non-static scenes, ICP algorithm, change detection, surface segmenting
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-43898ISRN: LTU-EX--06/184--SELocal ID: 1b7ccad9-ab4c-47b5-b1d2-150513e0d953OAI: oai:DiVA.org:ltu-43898DiVA: diva2:1017140
Subject / course
Student thesis, at least 30 credits
Educational program
Electrical Engineering, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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