Image-based Model Completion

A. Brunton, S. Wuhrer, Chang Shu
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引用次数: 6

Abstract

Geometric models created from range sensors are usually incomplete. Considerable effort has been made to fix this problem, ranging from manual repairing to geometric interpolation. We propose using multi-view stereo to complete such models. Our approach is practical and convenient because when scanning and object or environment one usually takes photographs to texture the resulting model. By using the incomplete scan data as a boundary condition, we use a variational multi-view approach to estimate the missing data.
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基于图像的模型补全
由距离传感器创建的几何模型通常是不完整的。为了解决这个问题,已经付出了相当大的努力,从手工修复到几何插值。我们建议使用多视点立体来完成这些模型。我们的方法是实用和方便的,因为当扫描物体或环境时,通常需要拍照来纹理生成模型。以不完整扫描数据为边界条件,采用变分多视图方法对缺失数据进行估计。
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