Feature-constrained surface reconstruction approach for point cloud data acquired with 3D laser scanner

Yongbo Wang; Yehua Sheng; Guonian Lu; Peng Tian; Kai Zhang

doi:10.1117/12.780539

29 April 2008 Feature-constrained surface reconstruction approach for point cloud data acquired with 3D laser scanner

Yongbo Wang, Yehua Sheng, Guonian Lu, Peng Tian, Kai Zhang

Proceedings Volume 7000, Optical and Digital Image Processing; 700021 (2008) https://doi.org/10.1117/12.780539
Event: SPIE Photonics Europe, 2008, Strasbourg, France

Abstract

Surface reconstruction is an important task in the field of 3d-GIS, computer aided design and computer graphics (CAD & CG), virtual simulation and so on. Based on available incremental surface reconstruction methods, a feature-constrained surface reconstruction approach for point cloud is presented. Firstly features are extracted from point cloud under the rules of curvature extremes and minimum spanning tree. By projecting local sample points to the fitted tangent planes and using extracted features to guide and constrain the process of local triangulation and surface propagation, topological relationship among sample points can be achieved. For the constructed models, a process named consistent normal adjustment and regularization is adopted to adjust normal of each face so that the correct surface model is achieved. Experiments show that the presented approach inherits the convenient implementation and high efficiency of traditional incremental surface reconstruction method, meanwhile, it avoids improper propagation of normal across sharp edges, which means the applicability of incremental surface reconstruction is greatly improved. Above all, appropriate k-neighborhood can help to recognize un-sufficient sampled areas and boundary parts, the presented approach can be used to reconstruct both open and close surfaces without additional interference.

Citation Download Citation

Yongbo Wang, Yehua Sheng, Guonian Lu, Peng Tian, and Kai Zhang "Feature-constrained surface reconstruction approach for point cloud data acquired with 3D laser scanner", Proc. SPIE 7000, Optical and Digital Image Processing, 700021 (29 April 2008); https://doi.org/10.1117/12.780539

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