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Deep Shape from a Low Number of Silhouettes

机译:来自少量剪影的深形状

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摘要

Despite strong progress in the field of 3D reconstruction from multiple views, holes on objects, transparency of objects and textureless scenes, continue to be open challenges. On the other hand, silhouette based reconstruction techniques ease the dependency of 3d reconstruction on image pixels but need a large number of silhouettes to be available from multiple views. In this paper, a novel end to end pipeline is proposed to produce high quality reconstruction from a low number of silhouettes, the core of which is a deep shape reconstruction architecture. Evaluations on ShapeNet [1] show good quality of reconstruction compared with ground truth.
机译:尽管从多个视图中的3D重建领域进展,但对象上的漏洞,物体透明度和Textullesfly的场景,仍然是开放的挑战。另一方面,基于剪影的重建技术可以缓解3D重建在图像像素上的依赖性,但需要从多个视图中获得大量剪影。本文提出了一种新颖的端部管道,从较少的剪影中产生高质量的重建,其核心是深形状重建架构。与地面真理相比,ShapEnet​​的评估显示了良好的重建品质。

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