Three-dimensional surface reconstruction algorithm based on fusion of scale and confidence
To resolve the problem of improving the three-dimensional surface reconstruction accuracy and complete-ness for scenes with small structures,a three-dimensional surface reconstruction algorithm based on the fusion of scale and confidence was proposed.A surface implicit function was constructed with Gaussian function as its basis function and third-order Bessel function as its weight function.The coverage of the basis function and the value of the weight function were adjusted adaptively according to the scale and confidence of point clouds.The data was stored and processed in the octree structure,which was adaptively divided according to the scale of point clouds,re-alizing adaptive three-dimensional sampling of the surface implicit function.The three-dimensional surface was ob-tained as the isosurface of the implicit function through the unconstrained isosurface extraction method.Compared with several typical surface reconstruction algorithms,the experimental results showed that the small structures re-constructed by the proposed algorithm were clear and the overall reconstruction accuracy and completeness were im-proved.
three-dimensional reconstructionoctreecontinuous implicit functionscaleconfidence index
万方数据
维普
