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Carnegie Mellon Robotics Institute

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Abstract

In this paper, we present a method for automatically creating a 3D model of a scene from a set of range images obtained from unknown viewpoints. Existing 3D modeling approaches require manual interaction or rely on mechanical methods to estimate the viewpoints. Given a set of range images (views), we use a surface matching system to exhaustively register all pairs of views. The results are verified for consistency, but some incorrect matches may be locally undetectable and correct matches may be missed. We then construct a consistent model from these potentially faulty matches using a global consistency criterion to eliminate incorrect, but locally consistent, matches. The procedure is demonstrated through an application called hand-held modeling, in which a 3D model is automatically created by scanning an object held in a person's hand.

Keywords

3D modeling, registration, automatic modeling, visibility test

Notes

Sponsor: Eastman Kodak Company

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): 3D Computer Vision Group

Associated Project(s): Automatic 3D Modeling from Range Images

Number of pages: 8

Text Reference

Daniel Huber, "Automatic 3D Modeling Using Range Images Obtained from Unknown Viewpoints," Proceedings of the Third International Conference on 3-D Digital Imaging and Modeling, May, 2001, pp. 153-160.

BibTeX Reference

@inproceedings{Huber_2001_3746,
   author = "Daniel Huber",
   title = "Automatic 3D Modeling Using Range Images Obtained from Unknown Viewpoints",
   booktitle = "Proceedings of the Third International Conference on 3-D Digital Imaging and Modeling",
   pages = "153-160",
   publisher = "IEEE Computer Society",
   month = "May",
   year = "2001",
}

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