Abstract
We present a new approach to relative stereo and motion reconstruction from a discrete set of point correspondences in completely uncalibrated pairs of images. This approach also yields new projective invariants, and we present some applications to object recognition. Finally, we introduce a new approach to camera self-calibration from two images which allows full metric reconstruction up to some unknown scale factor. We have implemented the proposed methods and present examples using real images.
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References
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© 1994 Springer-Verlag Berlin Heidelberg
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Ponce, J., Marimont, D.H., Cass, T.A. (1994). Analytical methods for uncalibrated stereo and motion reconstruction. In: Eklundh, JO. (eds) Computer Vision — ECCV '94. ECCV 1994. Lecture Notes in Computer Science, vol 800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57956-7_51
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DOI: https://doi.org/10.1007/3-540-57956-7_51
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