Perceptual Translucency in 3D Printing Using Surface Texture

被引:0
|
作者
Nagasawa, Kazuki [1 ]
Ono, Kamui [1 ]
Arai, Wataru [2 ]
Tsumura, Norimichi [1 ]
机构
[1] Chiba Univ, Grad Sch Sci & Engn, Chiba 2638522, Japan
[2] Mimaki Engn Co Ltd, Nagano 3890512, Japan
关键词
three-dimensional printing; translucency; perception; texture;
D O I
10.3390/jimaging9050105
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
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.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] 3D Printing Spatially Varying Color and Translucency
    Brunton, Alan
    Arikan, Can Ates
    Tanksale, Tejas Madan
    Urban, Philipp
    ACM TRANSACTIONS ON GRAPHICS, 2018, 37 (04):
  • [2] Classification of 3D macro texture using perceptual observables
    Hoogs, A
    Collins, R
    Kaucic, R
    16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITON, VOL IV, PROCEEDINGS, 2002, : 113 - 117
  • [3] Perceived Effects of Reflective Translucency in 3D Printing Filaments
    Filip, Jiri
    Kolafova, Martina
    Vavra, Radomir
    2022 16TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS, SITIS, 2022, : 289 - 295
  • [4] Evaluation on the Process Parameters Influencing the Surface Texture using Open-Source 3D Printing
    Bin Sukindar, Nor Aiman
    Ariffin, Mohd Khairol Anuar Bin Mohd
    Bin Baharudin, B. T. Hang Tuah
    Jaafar, Che Nor Aiza Binti
    Bin Ismail, Mohd Idris Shah
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCED PROCESSES AND SYSTEMS IN MANUFACTURING (APSIM 2016), 2016, : 127 - 128
  • [5] Quantitative evaluations on influences of aggregate surface texture on interfacial adhesion using 3D printing aggregate
    Liu, Jianan
    Wang, Zhenjun
    Zhao, Xin
    Yu, Cong
    Zhou, Xiaowei
    CONSTRUCTION AND BUILDING MATERIALS, 2022, 328
  • [6] Perceptual Models of Preference in 3D Printing Direction
    Zhang, Xiaoting
    Le, Xinyi
    Panotopoulou, Athina
    Whiting, Emily
    Wang, Charlie C. L.
    ACM TRANSACTIONS ON GRAPHICS, 2015, 34 (06):
  • [7] Food Texture Design by 3D Printing: A Review
    Pereira, Tatiana
    Barroso, Sonia
    Gil, Maria M.
    FOODS, 2021, 10 (02)
  • [8] Surface Design of Wood-Based Board to Imitate Wood Texture Using 3D Printing Technology
    Feng, Xinhao
    Wu, Zhihui
    Sang, Ruijuan
    Wang, Fei
    Zhu, Yayuan
    Wu, Meijin
    BIORESOURCES, 2019, 14 (04) : 8196 - 8211
  • [9] 3D Surface Reconstruction Using Polynomial Texture Mapping
    Elfarargy, Mohammed
    Rizq, Amr
    Rashwan, Marwa
    ADVANCES IN VISUAL COMPUTING, ISVC 2013, PT I, 2013, 8033 : 353 - 362
  • [10] Demonstration of FoodFab: Creating Food Perceptual Illusions using Food 3D Printing
    Punpongsanon, Parinya
    Lin, Ying-Ju
    Wen, Xin
    Iwai, Daisuke
    Sato, Kosuke
    Obrist, Marianna
    Mueller, Stefanie
    CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2020,