Yuka Takahashi
ABSTRACT
Although 3D texture painting has an advantage of making it easy to grasp the overall shape compared with a method of drawing directly onto a UV map, a disadvantage is unpainted (or distorted) regions appearing in the result due to, for example, self-occluded parts. Thus, in order to perform painting without leaving unpainted parts, sequential change of viewpoints is necessary. However, this process is highly time-consuming. To address this problem, we propose an automatic suggestion of optimal viewpoints for 3D texture painting. As the user paints a model, the system searches for optimal viewpoints for subsequent painting and presents them as multiple suggestions. The user switches to a suggested viewpoint by clicking on a suggestion. We conducted a user study and confirmed that the proposed workflow was effective for 3D texture painting envisioned by users.
- Hsiang-Ting Chen, Tovi Grossman, Li-Yi Wei, Ryan M Schmidt, Björn Hartmann, George Fitzmaurice, and Maneesh Agrawala. 2014. History assisted view authoring for 3D models. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2027–2036. https://doi.org/10.1145/2556288.2557009Google Scholar
Digital Library
- Enrique Dunn and Jan-Michael Frahm. 2009. Next Best View Planning for Active Model Improvement. In Proceedings of the British Machine Vision Conference (BMVC). BMVA Press, 53:1–53:11. https://doi.org/10.5244/C.23.53Google ScholarCross Ref
- Chi-Wing Fu, Jiazhi Xia, and Ying He. 2010. LayerPaint: A Multi-Layer Interactive 3D Painting Interface. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 811–820. https://doi.org/10.1145/1753326.1753445Google ScholarDigital Library
- Azam Khan, Ben Komalo, Jos Stam, George Fitzmaurice, and Gordon Kurtenbach. 2005. Hovercam: Interactive 3D Navigation for Proximal Object Inspection. In Proceedings of the 2005 Symposium on Interactive 3D Graphics and Games. ACM, 73–80. https://doi.org/10.1145/1053427.1053439Google ScholarDigital Library
- Yuki Koyama, Daisuke Sakamoto, and Takeo Igarashi. 2014. Crowd-Powered Parameter Analysis for Visual Design Exploration. In Proceedings of the 27th annual ACM symposium on User interface software and technology. ACM, 65–74. https://doi.org/10.1145/2642918.2647386Google ScholarDigital Library
- Nikolaos A Massios, Robert B Fisher, 1998. A best next view selection algorithm incorporating a quality criterion. In Proceedings of the 9th British Machine Vision Conference. Department of Artificial Intelligence, University of Edinburgh, 78:1–78:10. https://doi.org/10.5244/C.12.78Google ScholarCross Ref
- Michaël Ortega and Thomas Vincent. 2014. Direct Drawing on 3D Shapes with Automated Camera Control. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2047–2050. https://doi.org/10.1145/2556288.2557242Google ScholarDigital Library
- Richard Pito. 1999. A solution to the next best view problem for automated surface acquisition. IEEE Transactions on Pattern Analysis and Machine Intelligence 21, 10(1999), 1016–1030. https://doi.org/10.1109/34.799908Google ScholarDigital Library
Index Terms
- PaintersView: Automatic Suggestion of Optimal Viewpoints for 3D Texture Painting
Recommendations
Painting with texture
EGSR '06: Proceedings of the 17th Eurographics conference on Rendering TechniquesWe present an interactive texture painting system that allows the user to author digital images by painting with a palette of input textures. At the core of our system is an interactive texture synthesis algorithm that generates textures with natural-...
A study on 3D digital image applying oriental painting techniques
SIGGRAPH '16: ACM SIGGRAPH 2016 PostersWith the advent of media, artists have expanded the domains of visual arts through various new attempts to integrate digital technology with arts. Along with the changes in working environment, nowadays, there have been new attempts to reinterpret old ...
Comments