research-article

Frankenrigs: building character rigs from multiple sources

Authors:

Christian Miller,

Don FussellAuthors Info & Claims

I3D '10: Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games

Pages 31 - 38

https://doi.org/10.1145/1730804.1730810

Published: 19 February 2010 Publication History

Abstract

We present a new rigging and skinning method which uses a database of partial rigs extracted from a set of source characters. Given a target mesh and a set of joint locations, our system can automatically scan through the database to find the best-fitting body parts, tailor them to match the target mesh, and transfer their skinning information onto the new character. For the cases where our automatic procedure fails, we provide an intuitive set of tools to fix the problems. When used fully automatically, the system can generate results of much higher quality than a standard smooth bind, and with some user interaction, it can create rigs approaching the quality of artist-created manual rigs in a small fraction of the time.

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Cited By

Li JLi WFollmer SAgrawala M(2021)Automated Accessory Rigs for Layered 2D Character IllustrationsThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474809(1100-1108)Online publication date: 10-Oct-2021
https://dl.acm.org/doi/10.1145/3472749.3474809
Li PAberman KHanocka RLiu LSorkine-Hornung OChen B(2021)Learning skeletal articulations with neural blend shapesACM Transactions on Graphics10.1145/3450626.345985240:4(1-15)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459852
Michel ÉBoubekeur T(2021)DAG amendment for inverse control of parametric shapesACM Transactions on Graphics10.1145/3450626.345982340:4(1-14)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459823
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Index Terms

Frankenrigs: building character rigs from multiple sources
1. Computing methodologies
  1. Computer graphics
    1. Animation

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Frankenrigs: Building Character Rigs from Multiple Sources

We present a new rigging and skinning method which uses a database of partial rigs extracted from a set of source characters. Given a target mesh and a set of joint locations, our system can automatically scan through the database to find the best-...
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Published In

cover image ACM Conferences

I3D '10: Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games

February 2010

201 pages

ISBN:9781605589398

DOI:10.1145/1730804

Conference Chairs:
Daniel Aliaga
Purdue University
,
Manuel M. Oliveira
Universidade Federal do Rio Grande do Sul - UFRGS
,
General Chairs:
Amitabh Varshney
University of Maryland
,
Chris Wyman
University of Iowa

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 February 2010

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I3D '10

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SIGGRAPH

I3D '10: Symposium on Interactive 3D Graphics and Games

February 19 - 21, 2010

D.C., Washington

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Overall Acceptance Rate 148 of 485 submissions, 31%

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Cited By

Li JLi WFollmer SAgrawala M(2021)Automated Accessory Rigs for Layered 2D Character IllustrationsThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474809(1100-1108)Online publication date: 10-Oct-2021
https://dl.acm.org/doi/10.1145/3472749.3474809
Li PAberman KHanocka RLiu LSorkine-Hornung OChen B(2021)Learning skeletal articulations with neural blend shapesACM Transactions on Graphics10.1145/3450626.345985240:4(1-15)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459852
Michel ÉBoubekeur T(2021)DAG amendment for inverse control of parametric shapesACM Transactions on Graphics10.1145/3450626.345982340:4(1-14)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459823
Taştan OSahillioğlu Y(2021)Human body reconstruction from limited number of pointsComputer Animation and Virtual Worlds10.1002/cav.199532:5Online publication date: 8-Apr-2021
https://doi.org/10.1002/cav.1995
Feng ACasas DShapiro A(2015)Avatar reshaping and automatic rigging using a deformable modelProceedings of the 8th ACM SIGGRAPH Conference on Motion in Games10.1145/2822013.2822017(57-64)Online publication date: 16-Nov-2015
https://dl.acm.org/doi/10.1145/2822013.2822017
Jin MGopstein DGingold YNealen A(2015)AniMeshACM Transactions on Graphics10.1145/2816795.281811434:6(1-8)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.1145/2816795.2818114
Loper MMahmood NRomero JPons-Moll GBlack M(2015)SMPLACM Transactions on Graphics10.1145/2816795.281801334:6(1-16)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.1145/2816795.2818013
Zhu YChen WGuo G(2015)Fusing Multiple Features for Depth-Based Action RecognitionACM Transactions on Intelligent Systems and Technology10.1145/26294836:2(1-20)Online publication date: 31-Mar-2015
https://dl.acm.org/doi/10.1145/2629483
Huang MChen YJi WMiao C(2015)Accurate and Robust Moving-Object Segmentation for Telepresence SystemsACM Transactions on Intelligent Systems and Technology10.1145/26294806:2(1-28)Online publication date: 31-Mar-2015
https://dl.acm.org/doi/10.1145/2629480
Spurlock SSouvenir R(2015)An Evaluation of Gamesourced Data for Human Pose EstimationACM Transactions on Intelligent Systems and Technology10.1145/26294656:2(1-16)Online publication date: 31-Mar-2015
https://dl.acm.org/doi/10.1145/2629465
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