FARM: Functional Automatic Registration Method for 3D Human Bodies,Computer Graphics Forum

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FARM: Functional Automatic Registration Method for 3D Human Bodies
Computer Graphics Forum ( IF 2.7 ) Pub Date : 2019-06-18 , DOI: 10.1111/cgf.13751
R. Marin ₁ , S. Melzi ₁ , E. Rodolà ₂ , U. Castellani ₁

Affiliation

We introduce a new method for non‐rigid registration of 3D human shapes. Our proposed pipeline builds upon a given parametric model of the human, and makes use of the functional map representation for encoding and inferring shape maps throughout the registration process. This combination endows our method with robustness to a large variety of nuisances observed in practical settings, including non‐isometric transformations, downsampling, topological noise and occlusions; further, the pipeline can be applied invariably across different shape representations (e.g. meshes and point clouds), and in the presence of (even dramatic) missing parts such as those arising in real‐world depth sensing applications. We showcase our method on a selection of challenging tasks, demonstrating results in line with, or even surpassing, state‐of‐the‐art methods in the respective areas.

中文翻译：

FARM：3D人体功能自动配准方法

我们介绍了一种新的 3D 人体形状非刚性配准方法。我们提出的管道建立在给定的人类参数模型之上，并利用功能图表示在整个注册过程中编码和推断形状图。这种组合使我们的方法对实际环境中观察到的各种干扰具有鲁棒性，包括非等距变换、下采样、拓扑噪声和遮挡；此外，管道可以始终应用于不同的形状表示（例如网格和点云），并且存在（甚至是戏剧性的）缺失部分，例如现实世界深度传感应用中出现的部分。我们在一系列具有挑战性的任务中展示我们的方法，展示符合甚至超越的结果，

更新日期：2019-06-18

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