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Kalman Filter-based Algorithms for Estimating Depth from Image Sequences (1989)  (Make Corrections)  (132 citations)
Larry Matthies, Takeo Kanade
International Journal of Computer Vision



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Abstract: Using known camera motion to estimate depth from image sequences is an important problem in robot vision. Many applications of depth-from-motion, including navigation and manipulation, require algorithms that can estimate depth in an on-line, incremental fashion. This requires a representation that records the uncertainty in depth estimates and a mechanism that integrates new measurements with existing depth estimates to reduce the uncertainty over time. Kalman filtering provides this... (Update)

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BibTeX entry:   (Update)

L. Matthies, R. Szelinski, and T. Kanade. Kalman Filter-based Algorithms for Estimating Depth from Image Sequences. Int. J. Computer Vision, pages 2989--2994, 1989. http://citeseer.ist.psu.edu/matthies89kalman.html   More

@article{ matthies89kalman,
    author = "Larry Matthies and Takeo Kanade and Richard Szeliski",
    title = "Kalman Filter-based Algorithms for Estimating Depth from Image Sequences",
    journal = "International Journal of Computer Vision",
    volume = "3",
    number = "3",
    pages = "209--238",
    year = "1989",
    url = "citeseer.ist.psu.edu/matthies89kalman.html" }
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