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Publications about 'geometric modeling'
Thesis
  1. Daniel Huber. Automatic Three-dimensional Modeling from Reality. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, December 2002.
    Keywords: 3-D perception, geometric modeling, registration, surface matching, automatic modeling. (bibtex entry)

Journal articles or book chapters
  1. Daniel Huber and Martial Hebert. Fully automatic registration of multiple 3-D data sets. Image and Vision Computing, 21(7):637-650, July 2003.
    Keywords: geometric modeling, registration, surface matching, automatic modeling. (bibtex entry)

Conference's articles
  1. C. Gordon, F. Boukamp, Daniel Huber, Edward Latimer, K. Park, and B. Akinci. Combining Reality Capture Technologies for Construction Defect Detection: A Case Study. In EIA9: E-Activities and Intelligent Support in Design and the Built Environment, 9th EuropIA International Conference, pages 99-108, October 2003.
    Keywords: 3-D perception, geometric modeling, object recognition, defect detection, construction site modeling. (bibtex entry)

  2. Daniel Huber and Martial Hebert. 3-D Modeling Using a Statistical Sensor Model and Stochastic Search. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 858-865, June 2003. (pdf)
    Keywords: 3-D perception, geometric modeling, 3-D modeling, registration, surface matching, automatic modeling. (bibtex entry)

  3. Daniel Huber and Nicolas Vandapel. Automatic 3-D underground mine mapping. In International Conference on Field and Service Robotics, July 2003.
    Keywords: 3-D perception, geometric modeling, 3-D modeling, registration, mine mapping. (bibtex entry)

  4. Aaron Christopher Morris, Derek Kurth, Daniel Huber, Chuck Whittaker, and Scott Thayer. Case Studies of a Borehole Deployable Robot for Limestone Mine Profiling and Mapping. In International Conference on Field and Service Robotics (FSR), July 2003.
    Keywords: 3-D perception, geometric modeling, 3-D modeling, registration, mine mapping. (bibtex entry)

  5. Daniel Huber and Martial Hebert. Fully Automatic Registration of Multiple 3-D Data Sets. In IEEE Computer Society Workshop on Computer Vision Beyond the Visible Spectrum(CVBVS 2001), December 2001. (pdf)
    Keywords: 3-D perception, geometric modeling, 3-D modeling, registration, surface matching, automatic modeling. (bibtex entry)

  6. Daniel Huber, Owen Carmichael, and Martial Hebert. 3-D map reconstruction from range data. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '00), volume 1, pages 891 - 897, April 2000. (url) (pdf)
    Keywords: 3-D perception, geometric modeling. (abstract) (bibtex entry)

  7. Vincent Broz, Owen Carmichael, Scott Thayer, James Osborn, and Martial Hebert. ARTISAN: An Integrated Scene Mapping and Object Recognition System. In American Nuclear Society 8th Intl. Topical Meeting on Robotics and Remote Systems, April 1999. American Nuclear Society. (url) (pdf)
    Keywords: 3-D perception, geometric modeling. (abstract) (bibtex entry)

  8. Owen Carmichael and Martial Hebert. 3-D Cueing: A Data Filter For Object Recognition. In IEEE Conference on Robotics and Automation (ICRA '99), volume 2, pages 944 - 950, May 1999. (url) (pdf)
    Keywords: 3-D perception, geometric modeling. (abstract) (bibtex entry)

  9. Owen Carmichael, Daniel Huber, and Martial Hebert. Large Data Sets and Confusing Scenes in 3-D surface Matching and Recognition. In Proceedings of the Second International Conference on 3-D Digital Imaging and Modeling (3-DIM'99), pages 358-367, October 1999. (url) (pdf)
    Keywords: 3-D perception, geometric modeling. (abstract) (bibtex entry)

  10. Owen Carmichael and Martial Hebert. Unconstrained Registration of Large 3-D Point Sets for Complex Model Building. In Proceedings 1998 IEEE/RSJ International Conference On Intelligent Robotic Systems (IROS '98), volume 1, pages 360 - 367, October 1998. (url) (pdf)
    Keywords: 3-D perception, geometric modeling. (abstract) (bibtex entry)

  11. Andrew Johnson, Owen Carmichael, Daniel Huber, and Martial Hebert. Toward a General 3-D Matching Engine: Multiple Models, Complex Scenes, and Efficient Data Filtering. In Proceedings of the 1998 Image Understanding Workshop (IUW), pages 1097-1107, November 1998. (url) (pdf)
    Keywords: 3-D perception, geometric modeling. (abstract) (bibtex entry)

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The VMR Lab is part of the Vision and Autonomous Systems Center within the Robotics Institute in the School of Computer Science, Carnegie Mellon University.
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