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.
Yizhong Zhang, Chunji Yin, Changxi Zheng and Kun Zhou,
Computational Hydrographic Printing,
ACM Transactions on Graphics 34(4) (Proc. SIGGRAPH 2015), Aug, 2015.
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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