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1. Owen Carmichael. Discriminative Techniques For The Recognition Of Complex-Shaped Objects. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, September 2003. (url) (pdf)
   Keywords: object recognition, computer vision. (abstract) (bibtex entry)

1. A. Stein and M. Hebert. Incorporating Background Invariance into Feature-Based Object Recognition. In Workshop on Applications of Computer Vision, 2005. (url) (pdf)
   Keywords: SIFT, object recognition, BSIFT, invariant features, recognition. (annotation) (bibtex entry)

2. Derek Hoiem, Rahul Sukthankar, Henry Schneiderman, and Larry Huston. Object-Based Image Retrieval using the Statistical Structure of Images. In IEEE Conference on Computer Vision and Pattern Recognition, June 2004. (url)
   Keywords: object recognition, statistical modeling. (abstract) (bibtex entry)

3. 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)

4. Owen Carmichael and Martial Hebert. Shape-based Recognition Of Wiry Objects. In IEEE Conference On Computer Vision And Pattern Recognition, June 2003. IEEE Press. (url) (pdf)
   Keywords: object recognition, computer vision. (abstract) (bibtex entry)

5. 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)

6. Caroline Pantofaru, Ranjith Unnikrishnan, and Martial Hebert. Toward Generating Labeled Maps from Color and Range Data for Robot Navigation. In Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2003. (pdf)
   Keywords: 3-D data, object recognition, image segmentation, sensor fusion, scene understanding. (abstract) (bibtex entry)

7. Ranjith Unnikrishnan and Martial Hebert. Robust Extraction of Multiple Structures from Non-uniformly Sampled Data. In Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '03), volume 2, pages 1322-29, October 2003. (pdf)
   Keywords: mobile robot, 3-D data, object recognition, nonparametric statistics, robust estimation, scene understanding. (abstract) (bibtex entry)

8. Owen Carmichael and Martial Hebert. Object Recognition by a Cascade of Edge Probes. In British Machine Vision Conference 2002, volume 1, pages 103-112, September 2002. British Machine Vision Association. (url) (pdf)
   Keywords: object recognition, computer vision. (abstract) (bibtex entry)

9. 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)

10. 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)

11. 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)

1. Owen Carmichael. Discriminant Filters for Object Recognition. Technical report CMU-RI-TR-02-09, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, March 2002. (url) (pdf)
   Keywords: object recognition, computer vision, machine learning. (abstract) (bibtex entry)

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