Abstract
In this paper we have sketched out an algorithm for reconstructing a sequence of overlapping range images based on two key constraints: minimizing the local variation of curvature across adjacent views, and minimizing the variation of motion parameters across adjacent surface points. It operates without explicitly computing correspondence and without the invoking a global rigidity assumption. Preliminary results indicate that the resulting surface reconstruction is both robust and accurate.
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© 1992 Springer-Verlag Berlin Heidelberg
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Soucy, G., Ferrie, F.P. (1992). Motion and surface recovery using curvature and motion consistency. In: Sandini, G. (eds) Computer Vision — ECCV'92. ECCV 1992. Lecture Notes in Computer Science, vol 588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55426-2_25
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DOI: https://doi.org/10.1007/3-540-55426-2_25
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