Abstract
This paper addresses the problem of reconstructing an integrated 3D model from multi le 2.5D range images. A novel integration algorithm is resented based on a continuous implicit surface representation. This is the first reconstruction algorithm to use operations in 3D s ace only. The algorithm is guaranteed to reconstruct the correct topology of surface features larger than the range image sampling resolution. Reconstruction of triangulated models from multi-image data sets is demonstrated for complex objects. Performance characterization of existing range image integration algorithms is addressed in the second art of this paper. This comparison defines the relative computational complexity and geometric limitations of existing integration algorithms.
Cite
CITATION STYLE
Hilton, A., Stoddart, A. J., Illingworth, J., & Windeatt, T. (1996). Reliable surface reconstruction from multiple range images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1064, pp. 118–126). Springer Verlag. https://doi.org/10.1007/bfb0015528
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