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在三维建筑遗产场景中确保色彩保真度。

Securing Color Fidelity in 3D Architectural Heritage Scenarios.

作者信息

Gaiani Marco, Apollonio Fabrizio Ivan, Ballabeni Andrea, Remondino Fabio

机构信息

Department of Architecture, University of Bologna, Bologna 40136, Italy.

3D Optical Metrology (3DOM) Unit, Bruno Kessler Foundation (FBK), Trento 38123, Italy.

出版信息

Sensors (Basel). 2017 Oct 25;17(11):2437. doi: 10.3390/s17112437.

DOI:10.3390/s17112437
PMID:29068359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5712986/
Abstract

Ensuring color fidelity in image-based 3D modeling of heritage scenarios is nowadays still an open research matter. Image colors are important during the data processing as they affect algorithm outcomes, therefore their correct treatment, reduction and enhancement is fundamental. In this contribution, we present an automated solution developed to improve the radiometric quality of an image datasets and the performances of two main steps of the photogrammetric pipeline (camera orientation and dense image matching). The suggested solution aims to achieve a robust automatic color balance and exposure equalization, stability of the RGB-to-gray image conversion and faithful color appearance of a digitized artifact. The innovative aspects of the article are: complete automation, better color target detection, a MATLAB implementation of the ACR scripts created by Fraser and the use of a specific weighted polynomial regression. A series of tests are presented to demonstrate the efficiency of the developed methodology and to evaluate color accuracy ('color characterization').

摘要

如今，在基于图像的文化遗产场景三维建模中确保色彩保真度仍是一个开放的研究课题。图像颜色在数据处理过程中很重要，因为它们会影响算法结果，因此对其进行正确处理、还原和增强至关重要。在本论文中，我们提出了一种自动化解决方案，旨在提高图像数据集的辐射质量以及摄影测量流程两个主要步骤（相机定向和密集图像匹配）的性能。所提出的解决方案旨在实现稳健的自动色彩平衡和曝光均衡、RGB到灰度图像转换的稳定性以及数字化文物逼真的色彩外观。本文的创新点包括：完全自动化、更好的颜色目标检测、对Fraser创建的ACR脚本的MATLAB实现以及使用特定的加权多项式回归。我们进行了一系列测试，以证明所开发方法的有效性并评估色彩准确性（“颜色表征”）。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ec/5712986/5a400cc11a8e/sensors-17-02437-g012.jpg
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