打印3D表面的外观再现框架

IF 0.6 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Journal of Imaging Science and Technology Pub Date : 2023-09-01 DOI:10.2352/j.imagingsci.technol.2023.67.5.050413

Tanzima Habib, Phil Green, Peter Nussbaum

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引用次数: 0

摘要

双向反射分布函数(BRDF)用于测量光泽度和表面几何形状的颜色。在本文中，我们的目标是提供一种实用的方法，在色彩管理的工作流程中，以任何斜角和颜色的2.5D打印再现3D打印表面的外观，作为软打样的一种手段。为了解释由于表面坡度变化而导致的颜色变化，我们开发了一种BRDF插值算法，该算法可以调整平面目标的三刺激值的颜色，以预测具有坡度的表面上的相应颜色。这些调整后的颜色然后被插值的BRDF工作流使用，最终预测具有特定斜率的每个像素的颜色参数。该算法在减少2.5D打印中的色差方面的有效性已被成功证明。然后，我们最后展示了如何使用iccMAX连接所有组件，坡度颜色调整方法，插值BRDF参数算法和BRDF模型编码配置文件，以制作实用的2.5D打印外观复制框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Appearance Reproduction Framework for Printed 3D Surfaces

Bidirectional reflection distribution function (BRDF) is used to measure colour with gloss and surface geometry. In this paper, we aim to provide a practical way of reproducing the appearance of a 3D printed surface in 2.5D printing of any slope angle and colour in a colour-managed workflow as a means for softproofing. To account for the change in colour due to a change in surface slope, we developed a BRDF interpolation algorithm that adjusts the colour of the tristimulus values of the flat target to predict the corresponding colour on a surface with a slope. These adjusted colours are then used by the interpolated BRDF workflow to finally predict the colour parameters for each pixel with a particular slope. The effectiveness of this algorithm in reducing colour differences in 2.5D printing has been successfully demonstrated. We then finally show how all the components, slope colour adjustment method, interpolated BRDF parameters algorithm, and BRDF model encoded profiles using iccMAX are connected to make a practical appearance reproduction framework for 2.5D printing.

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来源期刊

Journal of Imaging Science and Technology 工程技术-成像科学与照相技术

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.