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Carnegie Mellon Robotics Institute

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Abstract

The authors presents a signal matching algorithm that can select an appropriate window size adaptively so as to obtain both precise and stable estimation of correspondences. A statistical model is presented for disparity variation within a window, and it is used to establish a link between the window size and the uncertainty of the computed disparity. This makes it possible to choose the window size that minimizes uncertainty in the disparity computed at each point. A theory is presented for the model and the resultant algorithm, together with analytical and experimental results that demonstrate their effectiveness.

Notes

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

Text Reference

M. Okutomi and Takeo Kanade, "A Locally Adaptive Window for Signal Matching," Proceedings of the Third International Conference on Computer Vision (ICCV '90), December, 1990, pp. 190-199.

BibTeX Reference

@inproceedings{Kanade_1990_2441,
   author = "M. Okutomi and Takeo Kanade",
   title = "A Locally Adaptive Window for Signal Matching",
   booktitle = "Proceedings of the Third International Conference on Computer Vision (ICCV '90)",
   pages = "190-199",
   month = "December",
   year = "1990",
}

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