Guided exploration of physically valid shapes for furniture design

Nobuyuki Umetani, Takeo Igarashi, Niloy J. Mitra

Research output: Contribution to journalArticlepeer-review

147 Scopus citations


Geometric modeling and the physical validity of shapes are traditionally considered independently. This makes creating aesthetically pleasing yet physically valid models challenging. We propose an interactive design framework for efficient and intuitive exploration of geometrically and physically valid shapes. During any geometric editing operation, the proposed system continuously visualizes the valid range of the parameter being edited. When one or more constraints are violated after an operation, the system generates multiple suggestions involving both discrete and continuous changes to restore validity. Each suggestion also comes with an editing mode that simultaneously adjusts multiple parameters in a coordinated way to maintain validity. Thus, while the user focuses on the aesthetic aspects of the design, our computational design framework helps to achieve physical realizability by providing active guidance to the user. We demonstrate our framework on plankbased furniture design with nail-joint and frictional constraints. We use our system to design a range of examples, conduct a user study, and also fabricate a physical prototype to test the validity and usefulness of the system. © 2012 ACM 0730-0301/2012/08- ART86.
Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalACM Transactions on Graphics
Issue number4
StatePublished - Jul 1 2012
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank Lars Hesselgren, Helmut Pottmann, Anthony Steed, and Michael Wand for their comments, and the anonymous reviewers for their thoughtful and useful suggestions. The work was supported in part by a KAUST visiting student grant, the Marie Curie Career Integration Grant 303541 and JSPS. We also thank Christina Amati for the video voiceover and Shuitian Yan for rendering the teaser image.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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