Abstract
We discuss two problems in the context of building environment models from multiple range images. The first problem is how to find the correspondences between surfaces viewed in images and surfaces stored in the environment model. The second problem is how to fuse descriptions of different parts of the same surface patch. One conclusion quickly reached is that in order to solve the image-model correspondence problem in a reasonable time the environment model must be divided into parts.
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© 1992 Springer-Verlag Berlin Heidelberg
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Orr, M.J.L., Hallam, J., Fisher, R.B. (1992). Fusion through interpretation. 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_91
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DOI: https://doi.org/10.1007/3-540-55426-2_91
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