Abstract
Hydrographic printing is a well-known technique in industry for
transferring color inks on a thin film to the surface of a manufactured
3D object. It enables high-quality coloring of object
surfaces and works with a wide range of materials, but suffers
from the inability to accurately register color texture to complex
surface geometries. Thus, it is hardly usable by ordinary users
with customized shapes and textures.
We present computational hydrographic printing, a new method that inherits the versatility of traditional hydrographic printing, while also enabling precise alignment of surface textures to possibly complex 3D surfaces. In particular, we propose the first computational model for simulating hydrographic printing process. This simulation enables us to compute a color image to feed into our hydrographic system for precise texture registration. We then build a physical hydrographic system upon off-the-shelf hardware, integrating virtual simulation, object calibration and controlled immersion. To overcome the difficulty of handling complex surfaces, we further extend our method to enable multiple immersions, each with a different object orientation, so the combined colors of individual immersions form a desired texture on the object surface. We validate the accuracy of our computational model through physical experiments, and demonstrate the efficacy and robustness of our system using a variety of objects with complex surface textures.
We present computational hydrographic printing, a new method that inherits the versatility of traditional hydrographic printing, while also enabling precise alignment of surface textures to possibly complex 3D surfaces. In particular, we propose the first computational model for simulating hydrographic printing process. This simulation enables us to compute a color image to feed into our hydrographic system for precise texture registration. We then build a physical hydrographic system upon off-the-shelf hardware, integrating virtual simulation, object calibration and controlled immersion. To overcome the difficulty of handling complex surfaces, we further extend our method to enable multiple immersions, each with a different object orientation, so the combined colors of individual immersions form a desired texture on the object surface. We validate the accuracy of our computational model through physical experiments, and demonstrate the efficacy and robustness of our system using a variety of objects with complex surface textures.
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Video
Citation
| Yizhong Zhang, Chunji Yin, Changxi Zheng and Kun Zhou, Computational Hydrographic Printing, ACM Transactions on Graphics 34(4) (Proc. SIGGRAPH 2015), Aug, 2015. |
Acknowledgements
We thank the anonymous reviewers for their constructive feedback,
the authors of [Batty et al. 2012]
for sharing their viscous
sheet simulation code, and Margaret Qian for recording
the voice-over for the video. This research was supported in
part by NSFC (No. 61272305), the National Program for Special
Support of Eminent Professionals of China, National Science
Foundation (CAREER-1453101) as well as generous gifts from
Intel. Any opinions, findings and conclusions or recommendations
expressed in this material are those of the authors and do
not necessarily reflect the views of funding agencies or others.
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