Stencil-based 3D facial relief creation from RGBD images for 3D printing

  • Jung, Soonchul (Creative Content Research Division, Electronics and Telecommunications Research Institute) ;
  • Choi, Yoon-Seok (Creative Content Research Division, Electronics and Telecommunications Research Institute) ;
  • Kim, Jin-Seo (Creative Content Research Division, Electronics and Telecommunications Research Institute)
  • Received : 2018.08.30
  • Accepted : 2019.11.18
  • Published : 2020.04.03


Three-dimensional (3D) selfie services, one of the major 3D printing services, print 3D models of an individual's face via scanning. However, most of these services require expensive full-color supporting 3D printers. The high cost of such printers poses a challenge in launching a variety of 3D printing application services. This paper presents a stencil-based 3D facial relief creation method employing a low-cost RGBD sensor and a 3D printer. Stencil-based 3D facial relief is an artwork in which some parts are holes, similar to that in a stencil, and other parts stand out, as in a relief. The proposed method creates a new type of relief by combining the existing stencil techniques and relief techniques. As a result, the 3D printed product resembles a two-colored object rather than a one-colored object even when a monochrome 3D printer is used. Unlike existing personalization-based 3D printing services, the proposed method enables the printing and delivery of products to customers in a short period of time. Experimental results reveal that, compared to existing 3D selfie products printed by monochrome 3D printers, our products have a higher degree of similarity and are more profitable.


Supported by : Korea Creative Content Agency (KOCCA)


  1. T. D. Ngo et al., Additive manufacturing (3d printing): a review of materials, methods, applications and challenges, Compos B Eng. 143 (2018), 172-196.
  2. D. Guastella and C. Valenti, Cartoon filter via adaptive abstraction, J. Vis. Commun. Image Represent 36 (2016), 149-158.
  3. B. Buchholz et al., Binary shading using appearance and geometry, Comput. Graphics Forum 29 (2010), 1981-1992.
  4. T. Inglis, S. Inglis, and C. Kaplan, Op Art rendering with lines and curves, Comput. Graphics 36 (2012), no. 6, 607-621.
  5. J. Bronson, P. Rheingans, and M. Olano, Semi-automatic stencil creation through error minimization, in Proc. Int. Symp. Nonphotorealistic Animation Rendering, Annecy, France, 2008, pp. 31-37.
  6. Y. Igarashi and T. Igarashi, Holly: A drawing editor for designing stencils, IEEE Comput. Graphics Appl. 30 (2010), no. 4, 8-14.
  7. A. Jain et al., Multi-layer stencil creation from images, Comput. Graphics 48 (2015), no. C, 11-22.
  8. T. Weyrich et al., Digital bas-relief from 3D scenes, ACM Trans., Graph. 26 (2007), no. 3, 32:1-7.
  9. M. Alexa and W. Matusik, Reliefs as images, ACM Trans. Graph. 29 (2010), no. 4, 60:1-7.
  10. D. Sykora et al., Ink-and-Ray: Bas-Relief meshes for adding global illumination effects to hand-drawn characters, ACM Trans. Graph. 33 (2014), no. 2, 16:1-15.
  11. H. T. To and B. S. Sohn, Bas-relief generation from face photograph based on facial feature enhancement, Multimedia Tools Applicat. 76 (2017), no. 8, 10407-10423.
  12. S. Lee and B. S. Sohn, Generation of cartoon-style bas-reliefs from photographs, Multimedia Tools Applicat. 78 (2019), no. 20, 28391-28407.
  13. M. Carney, Lithophanes, Atglen, PA: Schiffer Publishing, 2007.
  14. J. Weiler et al., Lithobox: Creative practice at the intersection of craft and technology, in Proc. Int. Conf. Tangible, Embedded, Embodied Interaction, Tempe, AZ, USA, Mar. 2019, pp. 471-477.
  15. C. Rother, V. Kolmogorov, and A. Blake, "GrabCut": Interactive foreground extraction using iterated graph cuts, ACM Trans. Graph. 23 (2004), no. 3, 309-314.
  16. M. W. Schwarz, W. B. Cowan, and J. C. Beatty, An experimental comparison of rgb, yiq, lab, hsv, and opponent color models, ACM Trans. Graph. 6 (1987), no. 2, 123-158.
  17. C. Tomasi and R. Manduchi, Bilateral filtering for gray and color images, in Proc. Int. Conf. Comput. Vision, Bombay, India, Jan 1998, pp. 839-846.
  18. S. Suzuki and K. Abe, Topological structural analysis of digitized binary images by border following, Comput. Vision, Graphics, Image Process. 30 (1985), no. 1, 32-46.