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Least-squares-based fitting of paraboloids

机译:基于最小二乘法的抛物面拟合

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摘要

A technique for reconstructing a class of quadric surfaces from 3D data is presented. The technique is driven by a linear least-squares-based fitting mechanism. Previously, such fitting was restricted to recovery of central quadrics; here, extension of that basic mechanism to allow recovery of one commonly-occurring class of non-central quadric, the elliptic paraboloids, is described. The extension uses an indirect solution approach that involves introducing a variable to the basic mechanism that is a function of a quadric surface invariant. Results from fitting real and synthetic data are also exhibited. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
机译:提出了一种用于从3D数据重建一类二次曲面的技术。该技术由线性最小二乘法拟合机制驱动。以前,这种拟合仅限于中央二次曲面的恢复。在此,描述了该基本机制的扩展,以允许恢复一种常见的非中心二次曲面,椭圆抛物面。该扩展使用一种间接解决方案方法,该方法涉及将变量引入基本机制,该变量是二次曲面不变式的函数。还显示了拟合真实数据和合成数据的结果。 (c)2006模式识别学会。由Elsevier Ltd.出版。保留所有权利。

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