从带有法线的图像中提取半自动数字铭文

Sema Berkiten, Xinyi Fan, S. Rusinkiewicz
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引用次数: 4

摘要

我们提出了一个半自动系统,用于将光度数据集(带法线的RGB图像)转换为几何感知的非真实感插图,这些插图遵循金石学的共同惯例(碑文的黑白考古图纸)。我们专注于通过雕刻或啄出岩石表面形成的岩石铭文:这些特征是粗糙的浅浮雕,使问题对以前的线条绘制方法非常具有挑战性。我们的系统允许用户轻松地勾勒岩石表面的铭文,然后分割出铭文,并创建各种风格的线条图和阴影效果图。我们探索了恒定宽度和倾斜指示线,以及局部形状显示的阴影。我们的系统比以前的NPR技术产生更容易理解的插图,成功地将铭文从手工和艰苦的过程转化为用户引导的半自动过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semi-automatic digital epigraphy from images with normals
We present a semi-automated system for converting photometric datasets (RGB images with normals) into geometry-aware non-photorealistic illustrations that obey the common conventions of epigraphy (black-and-white archaeological drawings of inscriptions). We focus on rock inscriptions formed by carving into or pecking out the rock surface: these are characteristically rough with shallow relief, making the problem very challenging for previous line drawing methods. Our system allows the user to easily outline the inscriptions on the rock surface, then segment out the inscriptions and create line drawings and shaded renderings in a variety of styles. We explore both constant-width and tilt-indicating lines, as well as locally shape-revealing shading. Our system produces more understandable illustrations than previous NPR techniques, successfully converting epigraphy from a manual and painstaking process into a user-guided semi-automatic process.
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