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Segmenting unstructured 3D points into surfaces

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1992) 588 LNCS 676-680
DOI: 10.1007/3-540-55426-2_73
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Abstract

We propose an approach for building surfaces from an unsegmented set of 3D points. Local surface patches are estimated and their differential properties are used iteratively to smooth the points while eliminating spurious data, and to group them into more global surfaces. We present results on complex natural scenes using stereo data as our source of 3D information.

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APA

Fua, P., & Sander, P. (1992). Segmenting unstructured 3D points into surfaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 588 LNCS, pp. 676–680). Springer Verlag. https://doi.org/10.1007/3-540-55426-2_73

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