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GENERATION OF 3D MODELS USING STOCHASTIC SHAPE DISTRIBUTION

机译:使用随机形状分布生成3D模型

摘要

Described herein are a system and methods for generating 3D models using imaging data obtained from an array of camera devices. In embodiments, a stochastic shape distribution may be applied upon an object to be modeled in invisible ink. The system activates a first lighting mode which causes the stochastic shape distribution to be visible and captures a first set of images that depict the stochastic shape distribution on the object. The system then activates a second lighting mode that causes the stochastic shape distribution to be hidden and captures images of the object as it would normally appear (without the stochastic shape distribution). The images having the stochastic shape distribution may be used to determine alignment information for the images within the set of images. That alignment information may then be attributed to the second set of images and used to generate the 3D model.
机译:本文描述了用于使用从相机设备的阵列获得的成像数据生成3D模型的系统和方法。在实施例中,可以在不可见墨水中将随机形状分布应用于要建模的对象。该系统激活使随机形状分布可见的第一照明模式,并捕获描绘对象上的随机形状分布的第一组图像。然后,系统激活第二种照明模式,该模式会导致随机形状分布被隐藏,并捕获对象的图像,就像它通常会出现时一样(没有随机形状分布)。具有随机形状分布的图像可以用于确定图像集中的图像的对准信息。然后,该对准信息可归因于第二组图像,并用于生成3D模型。

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