ABSTRACT
We present a method of designing and fabricating pottery artwork through human posture where the users need neither professional skills nor experience with 3D modeling software. This method creatively solves the problem of mapping between the human skeleton and the pottery shape and has a strong ability to model complex shapes while being user-friendly. Our system represents the deformation of a pottery object with four independent operators and provides real-time visual feedback as the user changes their posture. Unlike traditional pottery throwing, where the product has high symmetry, our system supports modeling asymmetric pottery shapes. After obtaining the model, the model can be fabricated directly via ceramic 3D printing, as the models satisfy printability constraints. A user study showed that the designed mapping relationship supports pottery shape deformation with a high degree-of-freedom, and inexperienced users can easily use the system with minimal instruction.
- John Bastian, Ben Ward, Rhys Hill, Anton van den Hengel, and Anthony Dick. 2010. Interactive modelling for AR applications. In 2010 IEEE International Symposium on Mixed and Augmented Reality. 199–205. https://doi.org/10.1109/ISMAR.2010.5643570Google ScholarCross Ref
- Paul Borrel and Ari Rappoport. 1994. Simple Constrained Deformations for Geometric Modeling and Interactive Design. ACM Trans. Graph. 13, 2 (April 1994), 137–155. https://doi.org/10.1145/176579.176581Google ScholarDigital Library
- Z. Cao, G. Hidalgo Martinez, T. Simon, S. Wei, and Y. A. Sheikh. 2019. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019).Google ScholarDigital Library
- Alexis Clay, Jean-Christophe Lombardo, Julien Conan, and Nadine Couture. 2013. Towards Bi-Manual 3D Painting: Generating Virtual Shapes with Hands. In Proceedings of the 1st Symposium on Spatial User Interaction (Los Angeles, California, USA) (SUI ’13). Association for Computing Machinery, New York, NY, USA, 79. https://doi.org/10.1145/2491367.2491396Google ScholarDigital Library
- Mustafa Doga Dogan, Faraz Faruqi, Andrew Day Churchill, Kenneth Friedman, Leon Cheng, Sriram Subramanian, and Stefanie Mueller. 2020. G-ID: Identifying 3D Prints Using Slicing Parameters. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376202Google ScholarDigital Library
- Tinsley A. Galyean and John F. Hughes. 1991. Sculpting: An Interactive Volumetric Modeling Technique. In Proceedings of the 18th Annual Conference on Computer Graphics and Interactive Techniques(SIGGRAPH ’91). Association for Computing Machinery, New York, NY, USA, 267–274. https://doi.org/10.1145/122718.122747Google ScholarDigital Library
- Google. 2019. Google Morphing Clay. https://futuredeluxe.com/work/google.Google Scholar
- Melody Horn, Amy Traylor, and Leah Buechley. 2022. Slabforge: Design Software for Slab-Based Ceramics. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 48, 12 pages. https://doi.org/10.1145/3491102.3517663Google ScholarDigital Library
- R.D. Hurrion. 1986. Visual interactive modelling. European Journal of Operational Research 23, 3 (1986), 281–287. https://doi.org/10.1016/0377-2217(86)90293-6Google ScholarCross Ref
- T. Igarashi, S. Matsuoka, and H. Tanaka. 2007. Teddy: a sketching interface for 3D freeform design, in: ACM SIGGRAPH 2007 courses. ACM (01 2007).Google ScholarDigital Library
- Alec Jacobson, Daniele Panozzo, 2018. libigl: A simple C++ geometry processing library. https://libigl.github.io/.Google Scholar
- J. Jankowski and M. Hachet. 2013. A Survey of Interaction Techniques for Interactive 3D Environments. Autonomic & Autacoid Pharmacology(2013).Google Scholar
- Michael D. Jones, Kevin Seppi, and Dan R. Olsen. 2016. What You Sculpt is What You Get: Modeling Physical Interactive Devices with Clay and 3D Printed Widgets. Association for Computing Machinery, New York, NY, USA, 876–886. https://doi.org/10.1145/2858036.2858493Google ScholarDigital Library
- Yeji Kim, Sohyun Sim, Seoungjae Cho, Woon-woo Lee, Young-Sik Jeong, Kyungeun Cho, and Kyhyun Um. 2014. Intuitive NUI for Controlling Virtual Objects Based on Hand Movements. 457–461. https://doi.org/10.1007/978-3-642-55038-6_71Google Scholar
- Kazuyoshi Korida, Hiroaki Nishino, and Kouichi Utsumiya. 1997. An Interactive 3D Interface for a Virtual Ceramic Art Work Environment. In Proceedings of the 1997 International Conference on Virtual Systems and MultiMedia(VSMM ’97). IEEE Computer Society, USA, 227.Google ScholarCross Ref
- Yaron Lipman, David Levin, and Daniel Cohen-Or. 2008. Green Coordinates. 27, 3 (aug 2008), 1–10. https://doi.org/10.1145/1360612.1360677Google ScholarDigital Library
- Ignacio Llamas, Byungmoon Kim, Joshua Gargus, Jarek Rossignac, and Chris D. Shaw. 2003. Twister: A Space-Warp Operator for the Two-Handed Editing of 3D Shapes. ACM Trans. Graph. 22, 3 (July 2003), 663–668. https://doi.org/10.1145/882262.882323Google ScholarDigital Library
- Julieta Martinez, Rayat Hossain, Javier Romero, and James J. Little. 2017. A Simple yet Effective Baseline for 3D Human Pose Estimation. In Proceedings of the IEEE International Conference on Computer Vision (ICCV).Google ScholarCross Ref
- Romain Prévost, Emily Whiting, Sylvain Lefebvre, and Olga Sorkine-Hornung. 2013. Make It Stand: Balancing Shapes for 3D Fabrication. ACM Trans. Graph. 32, 4, Article 81 (jul 2013), 10 pages. https://doi.org/10.1145/2461912.2461957Google ScholarDigital Library
- Samuel Reinders, Matthew Butler, and Kim Marriott. 2020. "Hey Model!" – Natural User Interactions and Agency in Accessible Interactive 3D Models. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376145Google ScholarDigital Library
- Michael L. Rivera and Scott E. Hudson. 2019. Desktop Electrospinning: A Single Extruder 3D Printer for Producing Rigid Plastic and Electrospun Textiles. Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300434Google ScholarDigital Library
- Nazmus Saquib, Rubaiat Habib Kazi, Li-Yi Wei, and Wilmot Li. 2019. Interactive Body-Driven Graphics for Augmented Video Performance. Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300852Google ScholarDigital Library
- Steven Schkolne, Michael Pruett, and Peter Schröder. 2001. Surface Drawing: Creating Organic 3D Shapes with the Hand and Tangible Tools. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Seattle, Washington, USA) (CHI ’01). Association for Computing Machinery, New York, NY, USA, 261–268. https://doi.org/10.1145/365024.365114Google ScholarDigital Library
- Haruki Takahashi and Jeeeun Kim. 2019. 3D Pen + 3D Printer: Exploring the Role of Humans and Fabrication Machines in Creative Making. Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300525Google ScholarDigital Library
- Carlos E. Tejada, Raf Ramakers, Sebastian Boring, and Daniel Ashbrook. 2020. AirTouch: 3D-Printed Touch-Sensitive Objects Using Pneumatic Sensing. Association for Computing Machinery, New York, NY, USA, 1–10. https://doi.org/10.1145/3313831.3376136Google ScholarDigital Library
- Joshua Vasquez, Hannah Twigg-Smith, Jasper Tran O’Leary, and Nadya Peek. 2020. Jubilee: An Extensible Machine for Multi-Tool Fabrication. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376425Google ScholarDigital Library
- Vinayak and Karthik Ramani. 2015. A Gesture-Free Geometric Approach for Mid-Air Expression of Design Intent in 3D Virtual Pottery. Comput. Aided Des. 69, C (Dec. 2015), 11–24. https://doi.org/10.1016/j.cad.2015.06.006Google ScholarDigital Library
- Philipp Wacker, Oliver Nowak, Simon Voelker, and Jan Borchers. 2019. ARPen: Mid-Air Object Manipulation Techniques for a Bimanual AR System with Pen & Smartphone. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3290605.3300849Google ScholarDigital Library
- Te-Yen Wu, Shutong Qi, Junchi Chen, MuJie Shang, Jun Gong, Teddy Seyed, and Xing-Dong Yang. 2020. Fabriccio: Touchless Gestural Input on Interactive Fabrics. Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3313831.3376681Google ScholarDigital Library
- Yu Xing, Yu Zhou, Xin Yan, Haisen Zhao, Wenqiang Liu, Jingbo Jiang, and Lin Lu. 2021. Shell thickening for extrusion-based ceramics printing. Computers & Graphics 97(2021), 160–169. https://doi.org/10.1016/j.cag.2021.04.031Google ScholarDigital Library
- Xin Yan, Lin Lu, Andrei Sharf, Xing Yu, and Yulu Sun. 2021. Man-Made by Computer: On-the-Fly Fine Texture 3D Printing. In Symposium on Computational Fabrication (Virtual Event, USA) (SCF ’21). Association for Computing Machinery, New York, NY, USA, Article 6, 10 pages. https://doi.org/10.1145/3485114.3485119Google ScholarDigital Library
- Fanchao Zhong, Wenqiang Liu, Yu Zhou, Xin Yan, Yi Wan, and Lin Lu. 2020. Ceramic 3D printed sweeping surfaces. Computers & Graphics 90(2020), 108–115. https://doi.org/10.1016/j.cag.2020.05.007Google ScholarDigital Library
Index Terms
- DancingPottery: Posture-Driven Pottery Generative Design and Fabrication
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