Journal of Imaging (May 2023)

Perceptual Translucency in 3D Printing Using Surface Texture

  • Kazuki Nagasawa,
  • Kamui Ono,
  • Wataru Arai,
  • Norimichi Tsumura

DOI
https://doi.org/10.3390/jimaging9050105
Journal volume & issue
Vol. 9, no. 5
p. 105

Abstract

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We propose a method of reproducing perceptual translucency in three-dimensional printing. In contrast to most conventional methods, which reproduce the physical properties of translucency, we focus on the perceptual aspects of translucency. Humans are known to rely on simple cues to perceive translucency, and we develop a method of reproducing these cues using the gradation of surface textures. Textures are designed to reproduce the intensity distribution of the shading and thus provide a cue for the perception of translucency. In creating textures, we adopt computer graphics to develop an image-based optimization method. We validate the effectiveness of the method through subjective evaluation experiments using three-dimensionally printed objects. The results of the validation suggest that the proposed method using texture may increase perceptual translucency under specific conditions. As a method for translucent 3D printing, our method has the limitation that it depends on the observation conditions; however, it provides knowledge to the field of perception that the human visual system can be cheated by only surface textures.

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