2019
DOI: 10.3390/min9040229
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Orebody Modeling from Non-Parallel Cross Sections with Geometry Constraints

Abstract: In this paper, we present an improved approach to the surface reconstruction of orebody from sets of interpreted cross sections that allows for shape control with geometry constraints. The soft and hard constraint rules based on adaptive sampling are proposed. As only the internal and external position relations of sections are calculated, it is unnecessary to estimate the normal directions of sections. Our key contribution is proposing an iterative closest point correction algorithm. It can be used for iterat… Show more

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Cited by 10 publications
(5 citation statements)
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References 31 publications
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“…However, it also has the disadvantage of a large amount of calculation. Additionally, Zhong et al [39] proposed a method of reconstructing the 3D orebody by cross-section contour polylines, which allows for adding geometric constraints and can easily control the shape of the model, but many discontinuous parts may be generated after reconstruction if the data are relatively sparse. Moreover, Wu et al [40] proposed a 3D orebody modeling method based on the normal estimation of cross-contour polylines.…”
Section: Contour Interpolation Modelingmentioning
confidence: 99%
“…However, it also has the disadvantage of a large amount of calculation. Additionally, Zhong et al [39] proposed a method of reconstructing the 3D orebody by cross-section contour polylines, which allows for adding geometric constraints and can easily control the shape of the model, but many discontinuous parts may be generated after reconstruction if the data are relatively sparse. Moreover, Wu et al [40] proposed a 3D orebody modeling method based on the normal estimation of cross-contour polylines.…”
Section: Contour Interpolation Modelingmentioning
confidence: 99%
“…A globally consistent signed distance function was used in [18] to construct closed and smooth 3D surfaces from unorganized planar cross sections. Based on the idea of incremental sampling and potential field iterative correction, radial basis function and signed distance field based surface reconstruction is used in orebody modelling [19].…”
Section: Related Workmentioning
confidence: 99%
“…For example, signed distance field functions [7], radial basis functions (RBFs) [8], geological rule interpolation constraints [9], linear interpolation methods [10], implicit surface reconstruction methods [11], etc., have been applied to orebody modeling [12]. Furthermore, specific implicit modeling methods are also developed based on different geological data, such as implicit orebody modeling methods based on borehole data [13], section data [14], point cloud data [15], etc. However, most mainstream mining modeling software still uses the traditional explicit modeling method, and the whole modeling process requires many manual interactions.…”
Section: Surface Modeling Of Geological Bodiesmentioning
confidence: 99%