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View Space Representation and Viewpoint Planning Computation for Automatic 3D Object Modeling

机译:用于自动3D对象建模的视图空间表示和视点计划计算

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Viewpoint planning plays an important role in automatic 3D model generation. We have proposed an optimal viewpoint planning [9] for the purpose of model generation by merging images acquired from multiple viewpoints on a sphere that encircles object. This method uses a discretized approximate sphere which involves problems of sphere tessellation and of sphere representation. One must consider that the scanned surface of an object is projected onto a sphere, and that the computational cost increases directly with the number of images. However, there are no appropriate sphere representation methods available. This paper proposes a new representation method based on a 2D array, and develops a new viewpoint planning algorithm. The proposed system is verified by algorithmic analysis and experiments using a real modeling system.
机译:观点规划在自动3D模型生成中起着重要作用。我们已经提出了一种最佳的视点计划[9],其目的是通过在环绕物体的球体上合并从多个视点获取的图像来生成模型。该方法使用离散化的近似球体,该球体涉及球体细分和球体表示的问题。必须考虑将物体的扫描表面投影到球体上,并且计算成本会随着图像数量的增加而直接增加。但是,没有合适的球体表示方法。本文提出了一种基于二维数组的新表示方法,并提出了一种新的视点规划算法。通过使用真实建模系统的算法分析和实验,对提出的系统进行了验证。

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