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用于室外三维模型的几何和颜色数据融合。

Geometric and colour data fusion for outdoor 3D models.

机构信息

Industrial Engineering School, University of Extremadura, Badajoz, Spain.

出版信息

Sensors (Basel). 2012;12(6):6893-919. doi: 10.3390/s120606893. Epub 2012 May 25.

DOI:10.3390/s120606893
PMID:22969327
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3435956/
Abstract

This paper deals with the generation of accurate, dense and coloured 3D models of outdoor scenarios from scanners. This is a challenging research field in which several problems still remain unsolved. In particular, the process of 3D model creation in outdoor scenes may be inefficient if the scene is digitalized under unsuitable technical (specific scanner on-board camera) and environmental (rain, dampness, changing illumination) conditions. We address our research towards the integration of images and range data to produce photorealistic models. Our proposal is based on decoupling the colour integration and geometry reconstruction stages, making them independent and controlled processes. This issue is approached from two different viewpoints. On the one hand, given a complete model (geometry plus texture), we propose a method to modify the original texture provided by the scanner on-board camera with the colour information extracted from external images taken at given moments and under specific environmental conditions. On the other hand, we propose an algorithm to directly assign external images onto the complete geometric model, thus avoiding tedious on-line calibration processes. We present the work conducted on two large Roman archaeological sites dating from the first century A.D., namely, the Theatre of Segobriga and the Fori Porticus of Emerita Augusta, both in Spain. The results obtained demonstrate that our approach could be useful in the digitalization and 3D modelling fields.

摘要

本文研究了如何从扫描仪生成精确、密集且彩色的户外场景三维模型。这是一个具有挑战性的研究领域,仍有几个问题尚未解决。特别是,如果场景在不适当的技术(特定扫描仪内置相机)和环境(雨、潮湿、光照变化)条件下进行数字化,那么户外场景的三维模型创建过程可能效率低下。我们的研究旨在将图像和范围数据集成在一起以生成逼真的模型。我们的建议基于解耦颜色集成和几何重建阶段,使它们成为独立和可控的过程。这个问题从两个不同的角度来处理。一方面,对于一个完整的模型(几何形状加纹理),我们提出了一种方法,用从特定环境条件下给定时刻拍摄的外部图像中提取的颜色信息来修改由扫描仪内置相机提供的原始纹理。另一方面,我们提出了一种直接将外部图像分配到完整几何模型上的算法,从而避免了繁琐的在线校准过程。我们介绍了在两个可追溯到公元一世纪的大型罗马考古遗址上进行的工作,即西班牙的塞戈维亚剧院和奥古斯塔埃梅里塔的福里波蒂库斯。所得结果表明,我们的方法在数字化和三维建模领域可能很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f46/3435956/4f39000d9447/sensors-12-06893f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f46/3435956/4f39000d9447/sensors-12-06893f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f46/3435956/4f39000d9447/sensors-12-06893f1.jpg

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本文引用的文献

1
Generation of photorealistic 3D image using optical digitizer.使用光学数字化仪生成逼真的3D图像。
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2
3D Digital Surveying and Modelling of Cave Geometry: Application to Paleolithic Rock Art.洞穴几何的三维数字测量和建模:在旧石器时代岩画中的应用。
Sensors (Basel). 2009;9(2):1108-27. doi: 10.3390/s90201108. Epub 2009 Feb 20.
3
Precision range image registration using a robust surface interpenetration measure and enhanced genetic algorithms.使用稳健的表面互穿度量和改进的遗传算法进行精确距离图像配准。
IEEE Trans Pattern Anal Mach Intell. 2005 May;27(5):762-76. doi: 10.1109/TPAMI.2005.108.