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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)

1. Burcu Akinci, Frank Boukamp, Chris Gordon, Daniel Huber, Catherine Lyons, and Kuhn Park. A Formalism for Utilization of Sensor Systems and Integrated Project Models for Active Construction Quality Control. Automation in Construction, 15(2):124--138, February 2006. (url) (pdf) (annotation) (bibtex entry)

2. 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)

1. Raghavendra Rao Donamukkala, Daniel Huber, Anuj Kapuria, and Martial Hebert. Automatic class selection and prototyping for 3-D object classification. In Proceedings of the 5th International Conference on 3-D Digital Imaging and Modeling (3DIM '05), pages 64-71, June 2005. IEEE Computer Society Press. (url) (pdf) (abstract) (bibtex entry)

2. Chris Gordon, Burcu Akinci, Frank Boukamp, and Daniel Huber. Assessment of visualization software for support of construction site inspection tasks using data collected from reality capture technologies. In Proceedings of the 2005 International Conference on Computing in Civil Engineering, July 2005. American Society of Civil Engineers. (url) (pdf) (abstract) (bibtex entry)

3. Andrea Frome, Daniel Huber, Ravi Kolluri, Thomas Bulow, and Jitendra Malik. Recognizing Objects in Range Data Using Regional Point Descriptors. In Proceedings of the European Conference on Computer Vision (ECCV), May 2004.
   Keywords: shape contexts, spin images, 3-D recognition. (bibtex entry)

4. Daniel Huber, Anuj Kapuria, Raghavendra Rao Donamukkala, and Martial Hebert. Parts-based 3-D object classification. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 04), June 2004.
   Note: This work was supported by the DARPA E3-D program (F33615-02-C-1265). (pdf)
   Keywords: object classification, parts-based classification, generic object recognition, 3-D recognition. (bibtex entry)

5. Y. Shan, B. Matei, H. S. Sawhney, R. Kumar, Daniel Huber, and Martial Hebert. Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2004), June 2004. (pdf)
   Keywords: object recognition, 3-D recognition, articulated ICP. (bibtex entry)

6. Nicolas Vandapel, Daniel Huber, Anuj Kapuria, and Martial Hebert. Natural Terrain Classification using 3-D Ladar Data. In IEEE International Conference on Robotics and Automation, April 2004. (pdf) (bibtex entry)

7. 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)

8. 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)

9. 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)

10. 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)

11. 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)

12. Daniel Huber. Automatic 3-D Modeling Using Range Images Obtained from Unknown Viewpoints. In Proceedings of the Third International Conference on 3-D Digital Imaging and Modeling, pages 153-160, May 2001. IEEE Computer Society.
    Keywords: 3-D modeling, registration, surface matching, automatic modeling. (bibtex entry)

13. 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)

14. 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)

15. Daniel Huber and Martial Hebert. A New Approach to 3-D Terrain Mapping. In Proceedings of the 1999 IEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS '99), pages 1121-1127, October 1999. IEEE. (pdf)
    Keywords: Terrain modeling, 3-D modeling, registration. (bibtex entry)

16. L.J. Denes, M. Gottlieb, B. Kaminsky, and Daniel Huber. Spectro-Polarimetric Imaging for Object Recognition. In Proceedings of Applied Imagery Pattern Recognition (AIPR '97), volume 3240, pages 8-18, 1998. SPIE.
    Keywords: Multi-spectral imaging, object recognition, Acousto-optical tunable filters. (bibtex entry)

17. 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)

18. L.J. Denes, M. Gottlieb, B. Kaminsky, and Daniel Huber. A Spectro-Polarimetric Imager for Scene Discrimination. In Proceedings of the International Symposium on Spectral Sensing Research (ISSSR), 1997.
    Keywords: Multi-spectral imaging, object recognition, Acousto-optical tunable filters.. (bibtex entry)

19. Daniel Huber, Louis Denes, Martial Hebert, Milton Gottlieb, Boris Kaminsky, and Peter Metes. A Spectro-Polarimetric Imager for Intelligent Transportation Systems. In SPIE International Symposium on Intelligent Systems and Advanced Manufacturing, Intelligent Transportation Systems, volume 3207, pages 94-102, October 1997. SPIE. (pdf)
    Keywords: Multi-spectral imaging, object recognition, Acousto-optical tunable filters. (bibtex entry)

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