Data reduction based on bi-directional point cloud slicing for reverse engineering

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In reverse engineering, complex free-form shaped parts are usually digitized quickly and accurately using the newly arisen non-contact measuring methods. However, they produce extremely dense point data at great rate. Not all the point data are necessary for generating a surface CAD model. Moreover, owing to inefficiencies in storing and manipulating them it takes a long time to generate a surface CAD model from the measured data. Therefore, an important task is to reduce the large amount of data. After analyzing the existing methods developed by other researchers, a new data reduction method, which based on bi-directional point cloud slicing, is presented in this paper. Using the proposed method, point cloud can be reduced while considering geometric features in both two parametric directions. Finally, a face model is used to verify the effectiveness of the proposed method and experimental results are given.

Original languageEnglish
Title of host publicationMeasurement Technology and Intelligent Instruments IX
PublisherTrans Tech Publications Ltd
Pages492-496
Number of pages5
ISBN (Print)0878492739, 9780878492732
DOIs
StatePublished - 2010
Event9th International Symposium on Measurement Technology and Intelligent Instruments, ISMTII-2009 - Saint-Petersburg, Russian Federation
Duration: 29 Jun 20092 Jul 2009

Publication series

NameKey Engineering Materials
Volume437
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Conference

Conference9th International Symposium on Measurement Technology and Intelligent Instruments, ISMTII-2009
Country/TerritoryRussian Federation
CitySaint-Petersburg
Period29/06/092/07/09

Keywords

  • Bi-directional point cloud slicing
  • Data reduction
  • Non-contact measurement
  • Reverse engineering

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