首页> 外国专利> METHOD FOR MODELLING THREE DIMENSIONAL SHAPE OF OBJECTS USING LEVEL SET SOLUTIONS ON PARTIAL DIFFERENCE EQUATION DERIVED FROM HELMHOLTZ RECIPROCITY CONDITION

METHOD FOR MODELLING THREE DIMENSIONAL SHAPE OF OBJECTS USING LEVEL SET SOLUTIONS ON PARTIAL DIFFERENCE EQUATION DERIVED FROM HELMHOLTZ RECIPROCITY CONDITION

机译:基于从赫尔姆霍茨对等条件导出的偏差分方程的水平集解,对物体的三维形状建模的方法

摘要

A method of modeling a 3D shape of an object using a level set solution of a partial differential equation derived from Helmholtz reciprocity condition is provided to restore the 3D shape of an object irrespective of surface feature of the object. An image captured using a camera and lighting designed to satisfy Helmholtz reciprocity condition is inputted(S11). Optical calibration for determining the intensity of light corresponding to RGB color values of the inputted image and geometric calibration for calculating an internal factor and an external factor of the camera using a 3D lattice pattern are performed in parallel(S12,S13). Only a camera capable of viewing arbitrary points on the surface of a 3D object is selected(S21), and a cost function for measuring a degree to which the 3D object satisfies Helmholtz constraints is defined and calculated(S22). A velocity function in the form of partial differential equation defining the velocity of the surface of the object, which minimizes the cost function, is calculated(S31) and the velocity function is solved using a level set. A 3D mesh model is generated from a set of points constructing the surface of the object(S41), and a final 3D mesh model is determined through comparison of cost function values.
机译:提供一种使用从亥姆霍兹互易性条件导出的偏微分方程的水平集解来建模对象的3D形状的方法,以恢复对象的3D形状,而与对象的表面特征无关。输入使用照相机和设计成满足亥姆霍兹互易条件的照明所捕获的图像(S11)。并行执行用于确定与输入图像的RGB颜色值相对应的光强度的光学校准和用于使用3D格子图案计算相机的内部因数和外部因数的几何校准(S12,S13)。仅选择能够观看3D对象的表面上的任意点的照相机(S21),并且定义和计算用于测量3D对象满足亥姆霍兹约束的程度的成本函数(S22)。计算偏微分方程形式的速度函数,该函数定义了对象表面的速度,从而使成本函数最小化(S31),并使用水平集求解了速度函数。从构成对象表面的一组点生成3D网格模型(S41),并通过比较成本函数值确定最终的3D网格模型。

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