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Carnegie Mellon Robotics Institute

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Abstract

In this article we propose a method for landmark selection and tracking in natural environments. Landmarks are not specific 3D objects, but an image area that can be tracked over a sequence of monocular images. No assumption is made a priori on landmarks. The algorithm selects areas in a monocular black and white image sequence that have an affine trackability property. A measure of affine trackability is proposed for selection and affine tracking. Initial experimental results are presented.

Notes

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

Number of pages: 6

Text Reference

Nicolas Vandapel and R. Chatila, "Affine trackability for landmark selection in natural environment," International Conference on Intelligent Robots and Systems (IROS '02), October, 2002, pp. 37 - 42.

BibTeX Reference

@inproceedings{Vandapel_2002_4963,
   author = "Nicolas Vandapel and R. Chatila",
   title = "Affine trackability for landmark selection in natural environment",
   booktitle = "International Conference on Intelligent Robots and Systems (IROS '02)",
   pages = "37 - 42",
   month = "October",
   year = "2002",
   volume = "1",
}

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