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Automatic generation of LEGO building instructions from multiple photographic images of real objects

机译:从真实物体的多个摄影图像中自动生成乐高积木指令

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摘要

We introduce a system to reconstruct large scale LEGO models from multiple two dimensional images of objects taken from different views. We employ a unit voxel with an edge length ratio of 5:5:6 for the shape from silhouette method that reconstructs an octree voxel-based three dimensional model with color information from images. We then convert the resulting voxel model with color information into a LEGO sculpture. In order to minimize the number of LEGO bricks, we use a stochastic global optimization method, simulated annealing, to hollow the model as much as possible but keep its strength for portability. Several real complex LEGO models are provided to demonstrate the effectiveness of the proposed method. (C) 2015 Elsevier Ltd. All rights reserved.
机译:我们介绍了一种系统,该系统可从从不同视角拍摄的物体的多个二维图像中重建大规模LEGO模型。我们将轮廓长度方法的形状采用边缘长度比为5:5:6的单位体素,该方法利用图像中的颜色信息重建基于八叉树的基于体素的三维模型。然后,我们将生成的具有颜色信息的体素模型转换为乐高雕塑。为了减少LEGO积木的数量,我们使用随机全局优化方法(模拟退火)对模型进行了尽可能多的挖空,但保留了其可移植性的优势。提供了几个真实的复杂乐高模型来证明所提出方法的有效性。 (C)2015 Elsevier Ltd.保留所有权利。

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