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Digital relief generation from 3D models

Abstract

It is difficult to extend image-based relief generation to high-relief generation, as the images contain insufficient height information. To generate reliefs from three-dimensional (3D) models, it is necessary to extract the height fields from the model, but this can only generate bas-reliefs. To overcome this problem, an efficient method is proposed to generate bas-reliefs and high-reliefs directly from 3D meshes. To produce relief features that are visually appropriate, the 3D meshes are first scaled. 3D unsharp masking is used to enhance the visual features in the 3D mesh, and average smoothing and Laplacian smoothing are implemented to achieve better smoothing results. A nonlinear variable scaling scheme is then employed to generate the final bas-reliefs and high-reliefs. Using the proposed method, relief models can be generated from arbitrary viewing positions with different gestures and combinations of multiple 3D models. The generated relief models can be printed by 3D printers. The proposed method provides a means of generating both high-reliefs and bas-reliefs in an efficient and effective way under the appropriate scaling factors.

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Authors

Corresponding author

Correspondence to Hongming Zhang.

Additional information

Supported by National Natural Science Foundation of China(Grant Nos. 61402374, 41301283), National Hi-tech Research and Development Program of China(863 Program, Grant No. 2013AA10230402), and China Postdoctoral Science Foundation

WANG Meili, born in 1982, is currently an associate professor at College of Information Engineering, Northwest A & F University, China. She received her PhD degree from Bournemouth University, UK, in 2011. Her research interests include computer-aided design, image processing, and 3D modeling.

SUN Yu, born in 1994, is currently a graduate candidate at Clemson University, United States. He received his bachelor’s degree from Northwest A & F University, China in 2016. His research interests include computer animation, games, and 3D modeling.

ZHANG Hongming, born in 1979, is currently an associate professor at College of Information Engineering, Northwest A & F University, China. He received his PhD degree from Northwest A & F University, China in 2012. His research interests include spatial big data analysis, soil erosion mapping, and digital terrain analysis.

QIAN Kun, born in 1986, is currently a PhD candidate at National Center for Computer Animation, Bournemouth University. He received his master’s degree in computer science from University of Electronic Science and Technology of China. His research mainly focuses on physics-based animation, deformation simulation, collision detection, haptic rendering, and virtual surgery.

CHANG Jian, born in 1977, is currently an associate professor at National Centre for Computer Animation, Bournemouth University, UK. He received his PhD degree in computer graphics in 2007 from the National Centre for Computer Animation, Bournemouth University. His research focuses on a number of topics related to geometric modeling, algorithmic art, character rigging and skinning, motion synthesis, deformation and physical-based animation, and novel human computer interaction. He also has a strong interest in applications in medical visualization and simulation.

HE Dongjian, born in 1957, is currently a professor at the College of Mechanical and Electronic Engineering, Northwest A & F University, China. He received his PhD degree from Northwest A & F University, China in 1998. His research interests include image analysis and recognition, intelligent detection and control, multimedia networks, and virtual reality.

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Wang, M., Sun, Y., Zhang, H. et al. Digital relief generation from 3D models. Chin. J. Mech. Eng. 29, 1128–1133 (2016). https://doi.org/10.3901/CJME.2016.0720.084

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Keywords

  • high-relief
  • bas-relief
  • mesh enhancement
  • scaling