Abstract
In this paper we present an algorithm for structure and motion (SM) recovery under affine projection from video sequences that is suitable for real time applications. The algorithm tracks the motion of a single structure, be it an object or the entire scene itself, allowing for any type of camera motion. This could be used for example to track the motion of a vehicle in a warehouse (single object, static camera) or for visual navigation from a moving platform (track scene from moving camera). The algorithm requires a set of features to be detected in each frame, and that at least four features are correctly matched between each three consecutive frames. Compared to previous algorithms, this novel algorithm has a lower computational cost, dynamically detects outliers and allows for previously lost features to reappear in the sequence. The algorithm has been tested on real image sequences, and compared to other algorithms we have found that our algorithm has both a smaller error and a lower computational time.
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References
Held A., “Piecewise Shape Reconstruction by incremental factorization”, Proc.7 th British Machine Vision Conference, vol l, UK, 1996, pp. 333–342.
McLauchlan P. et al. “Recursive affine structure and motion from image sequences” Proc. 3rd ECCV, vol. I, Stockholm, pp. 217–224, 1994.
[3]McLauchlan P. and Murray D., “A unifying framework for structure and motion recovery from image sequences” Proc. 5th ICCV, MIT, pp. 314–320, 1995.
Meer P. et al. “Robust regression methods for computer vision: a review”, Intl. Journal Computer Vision vol. 6., pp. 59–70, 1991.
Morita T. and Kanade T., “A sequential factorization method for recovering shape and motion from image streams”, Proc. 1994 ARPA Image Understanding Workshop, vol. II, pp. 1177–1188, Monterey, CA 1994.
Reid I. D. and Murray D. W., “Active Tracking of Foveated Feature Clusters Using Affine Structure”, Intl. J. Computer Vision, vol. 18, pp. 41–60, 1996.
Shi J. and Tomasi C., “Good Features to Track”. IEEE Conference on Computer Vision and Pattern Recognition, June 1994, pp. 593–600.
Tomasi C. and Kanade T., “Shape and motion from image streams under orthography: A factorization approach”, Intl. J. Comp. Vision, vol. 9, pp. 137–154, 1991.
Trajkovid M. and Hedley M., “Fast feature detection and matching for machine vision”, Proc. 7th British Machine Vision Conference, vol. I, Edinburgh, UK, 1996, pp. 91–100.
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© 1997 Springer-Verlag Berlin Heidelberg
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Trajković, M., Hedley, M. (1997). An algorithm for recursive structure and motion recovery under affine projection. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_239
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DOI: https://doi.org/10.1007/3-540-63931-4_239
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