SkelSeg: Segmentation and Rigging of Raw-Scanned 3D Volume with User-Specified Skeleton
SkelSeg: Segmentation and Rigging of Raw-Scanned 3D Volume with User-Specified Skeleton
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发表时间：
2019
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通讯作者：
Seung-tak Noh;Kenichi Takahashi;Masahiko Adachi;T. Igarashi
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作者：
Seung-tak Noh;Kenichi Takahashi;Masahiko Adachi;T. Igarashi
虽然基于RGB-D相机的扫描已经变得流行，但原始扫描的3D模型包含几个阻碍动画的问题，例如融合的手臂和腿。我们提出了一个系统，允许用户生成一个操纵的三维网格从原始扫描的三维体积与简单的注释。用户在扫描步骤捕获的校准图像上注释骨架结构，我们的系统自动将原始扫描体积分割成部分，基于用户指定的3D骨架生成蒙皮3D网格。我们用几个原始扫描的3D毛绒玩具模型测试了我们的方法，并成功地生成了合理的动画。
Although RGB-D camera-based scanning has become popular, a raw-scanned 3D model contains several problems that hinder animation such as fused arms and legs. We propose a system that allows a user to generate a rigged 3D mesh from a raw-scanned 3D volume with simple annotations. The user annotates the skeleton structure on the calibrated images captured at the scanning step, and our system automatically segments the raw-scanned volume into parts, generating a skinned 3D mesh based on the user-specified 3D skeleton. We tested our method with several raw-scanned 3D plush toy models, and successfully generated plausible animations.