Complete 3D model reconstruction using a depth sensor

Guangyu Mu, Miao Liao, Ruigang Yang, Dantong Ouyang, Zhiwen Xu, Xiaoxin Guo

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

2 Scopus citations

Abstract

We propose a fast and simple application system of 3D model reconstruction. We acquire range images by using a combination of a regular camera and a depth sensor. The reconstruction of a 3D model consists of four key steps: (i) Initial alignment either feature tracking or the 4-points congruent sets algorithm is used to align surfaces captured at different frames. (ii)The iterative closest point (ICP) method is applied to further align the piecewise surfaces from the last step. (iii) The surfaces are merged into a whole 3D model by the volumetric method. (iv) In the refinement step, we fill holes and produce a complete 3D model that approximates the original model with robust repair of polygonal models. At last, we present the experimental results which show that the errors between our reconstructed model and the ground truth are less than 1 %.

Original languageEnglish
Title of host publicationProceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010
Pages175-179
Number of pages5
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Intelligent Computing and Integrated Systems, ICISS2010 - Guilin, China
Duration: Oct 22 2010Oct 24 2010

Publication series

NameProceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010

Conference

Conference2010 IEEE International Conference on Intelligent Computing and Integrated Systems, ICISS2010
Country/TerritoryChina
CityGuilin
Period10/22/1010/24/10

Keywords

  • 3D model
  • Range image integration
  • Reconstruction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications

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