BibTex
@inproceedings{Noh:2019:10.20380/GI2019.17,
author = {Noh, Seung-Tak and Takahashi, Kenichi and Adachi, Masahiko and Igarashi, Takeo},
title = {SkelSeg: Segmentation and Rigging of Raw-Scanned 3D Volume with User-Specified Skeleton},
booktitle = {Proceedings of Graphics Interface 2019},
series = {GI 2019},
year = {2019},
issn = {0713-5424},
isbn = {978-0-9947868-4-5},
location = {Kingston, Ontario},
numpages = {8},
doi = {10.20380/GI2019.17},
publisher = {Canadian Information Processing Society},
}Supplementary Media
Abstract
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.