A genetic algorithm applied in the three-dimensional reconstruction of digitalized objects

D. Torres, F. Cuevas
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Abstract

We present a method to fully reconstruct real objects acquired by any means of digitalization and where many scans from different views of point have been made. The current problem is modeled as an optimization problem and solved with a Genetic Algorithm (GA) using a custom fitness function based in regular squared distance minimization (SDM). We present examples to show the applicability of our method to reconstruct full objects as well as a possible application in reverse engineering.
遗传算法在数字化物体三维重建中的应用
我们提出了一种方法,以充分重建真实的物体获得任何数字化手段,其中许多扫描从不同的观点已经作出。将当前问题建模为一个优化问题,并使用基于正则平方距离最小化(SDM)的自定义适应度函数的遗传算法(GA)进行求解。我们提出的例子表明,我们的方法的适用性,以重建完整的对象,以及可能的应用在逆向工程。
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