Pose estimation and integration for complete 3D model reconstruction

Soon Yong Park, M. Subbarao

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

7 Scopus citations

Abstract

An automatic 3D model reconstruction technique is presented to acquire complete 3D models of real objects. The technique is based on novel approaches to pose estimation and integration. Two different poses of an object are used because a single pose often hides some surfaces from a range sensor. The presence of hidden surfaces makes the 3D model reconstructed from any single pose a partial model. Two such partial 3D models are reconstructed for two different poses of the object using a multi-view 3D modeling technique. The two partial 3D models are then registered. Coarse registration is facilitated by a novel pose estimation technique between two models. The pose is estimated by matching a stable tangent plane (STP) of each pose model with the base tangent plane (BTP) which is invariant for a vision system. The partial models are then integrated to a complete 3D model based on voxel classification defined in multi-view integration. Texture mapping is done to obtain a photo-realistic reconstruction of the object.

Original languageEnglish
Title of host publicationProceedings - 6th IEEE Workshop on Applications of Computer Vision, WACV 2002
PublisherIEEE Computer Society
Pages143-147
Number of pages5
ISBN (Electronic)0769518583
DOIs
StatePublished - 2002
Event6th IEEE Workshop on Applications of Computer Vision, WACV 2002 - Orlando, United States
Duration: 3 Dec 20024 Dec 2002

Publication series

NameProceedings of IEEE Workshop on Applications of Computer Vision
Volume2002-January
ISSN (Print)2158-3978
ISSN (Electronic)2158-3986

Conference

Conference6th IEEE Workshop on Applications of Computer Vision, WACV 2002
Country/TerritoryUnited States
CityOrlando
Period3/12/024/12/02

Keywords

  • Calibration
  • Image reconstruction
  • Machine vision
  • Merging
  • Shape
  • Surface reconstruction
  • Surface texture

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