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Publications about '3-D recognition'
Conference's articles
  1. 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)

  2. 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)

  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)

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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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