Accurate and Computational: A review of color reproduction in Full-color 3D printing

Yuan, Jiangping; Chen, Guangxue; Li, Hua; Prautzsch, Hartmut; Xiao, Kaida

doi:10.1016/j.matdes.2021.109943

Cited by 47 publications

(25 citation statements)

References 67 publications

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“…To complete the scenario, they added fog and water wave effects. In [19], the authors suggested that the industrial 3D printing becomes increasingly common, it's time to talk about high-fidelity 3D object replication, especially in colors. Only a few studies have looked at exact color reproduction and universal color reproduction methods for 3D printing materials.…”

Section: Related Workmentioning

confidence: 99%

Research on Multichannel 3D Oil Painting Style Rendering Model Based on 3DS Max

Liu

2022

Mobile Information Systems

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People are becoming less comfortable in content as a form of data throughout this period of growing scientific and technological advancements. Oil painting also was challenged in unprecedented ways by modern image processing techniques as person’s primary source of data, and it had a tremendous effect on the domain of artistic creativity. Therefore, we present an upgraded convolutional neural network (U-CNN) for the enhancement of style rendering model addressing the aforementioned challenges. Initially, the datasets are gathered that are denoised and enhanced in the preprocessing stage to eliminate noise and improve the quality of the data. Gabor filter bank (GFB) is employed in the feature extraction stage to extract several features from the normalized data. For the application of style rendering model, the proposed approach is utilized. Moreover, through applying the 3DS MAX model, the three-dimensional (3-D) oil painting is generated. Finally, the performance of the proposed approach is examined and compared with other existing approaches to obtain the proposed approach with the greatest effectiveness. The findings are depicted in chart form by employing the origin tool.

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Section: Related Workmentioning

confidence: 99%

Research on Multichannel 3D Oil Painting Style Rendering Model Based on 3DS Max

Liu

2022

Mobile Information Systems

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“…This method directly interconnects with advanced manufacturing techniques and customization with excellent accuracy and many applications have been involved, such as art and design practice [2], manufacture of soft tissue prostheses [3], dentistry [4], food [5], etc. Despite the advances in production technologies, faithfully reproducing the color appearance of 3D objects remains a challenge because it requires knowledge of 3D metrology, color modeling, human perception, and 3D printing [6]. The International Commission on Illumination (CIE) has listed the reproduction and measurement of 3D objects as one of the top priority topics in its current research strategy [7].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Parametric Factors in CIELAB and CIEDE2000 Color-Difference Formulas for 3D-Printed Spherical Objects

Xiao

Pointer

et al. 2022

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The current color-difference formulas were developed based on 2D samples and there is no standard guidance for the color-difference evaluation of 3D objects. The aim of this study was to test and optimize the CIELAB and CIEDE2000 color-difference formulas by using 42 pairs of 3D-printed spherical samples in Experiment I and 40 sample pairs in Experiment II. Fifteen human observers with normal color vision were invited to attend the visual experiments under simulated D65 illumination and assess the color differences of the 82 pairs of 3D spherical samples using the gray-scale method. The performances of the CIELAB and CIEDE2000 formulas were quantified by the STRESS index and F-test with respect to the collected visual results and three different optimization methods were performed on the original color-difference formulas by using the data from the 42 sample pairs in Experiment I. It was found that the optimum parametric factors for CIELAB were kL = 1.4 and kC = 1.9, whereas for CIEDE2000, kL = 1.5. The visual data of the 40 sample pairs in Experiment II were used to test the performance of the optimized formulas and the STRESS values obtained for CIELAB/CIEDE2000 were 32.8/32.9 for the original formulas and 25.3/25.4 for the optimized formulas. The F-test results indicated that a significant improvement was achieved using the proposed optimization of the parametric factors applied to both color-difference formulas for 3D-printed spherical samples.

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“…It is based on digital model files and uses bondable materials such as plastic, gypsum powder, paper sheet, and resin to manufacture three-dimensional objects by printing layer by layer and overlaying different shapes in a continuous layer-forming method [2], which also contains color replication [3]. With the continuous development and upgrading of 3D printing materials and equipment with a rapid growth in industry scale, color 3D printing technology has become a key branch of the 3D printing industry [4].…”

Section: Introductionmentioning

confidence: 99%

Pigment Penetration Characterization of Colored Boundaries in Powder-Based Color 3D Printing

et al. 2022

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Color 3D printing has widely affected our daily lives; therefore, its precise control is essential for aesthetics and performance. In this study, four unique test plates were printed using powder-based full-color 3D printing as an example; moreover, the corresponding pigment-penetration depth, chromaticity value and image-based metrics were measured to investigate the lateral pigment penetration characteristics and relative surface-color reproduction of each color patch, and to perform an objective analysis with specific microscopic images. The results show that the lateral pigment-penetration depth correlates with the number of printed layers on the designed 3D test plates, and the qualitative analysis of microscopic images can explain the change in chromaticity well. Meanwhile, there is an obvious linear correlation between the mean structural similarity, color-image difference and color difference for current color samples. Thus, our proposed approach has a good practicality for powder-based color 3D printing, and can provide new insight into predicting the color-presentation efficiency of color 3D-printed substrates by the abovementioned objective metrics.

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Accurate and Computational: A review of color reproduction in Full-color 3D printing

Cited by 47 publications

References 67 publications

Research on Multichannel 3D Oil Painting Style Rendering Model Based on 3DS Max

Research on Multichannel 3D Oil Painting Style Rendering Model Based on 3DS Max

Optimizing Parametric Factors in CIELAB and CIEDE2000 Color-Difference Formulas for 3D-Printed Spherical Objects

Pigment Penetration Characterization of Colored Boundaries in Powder-Based Color 3D Printing

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