IMPROVING PERFORMANCE OF FEATURE EXTRACTION IN SFM ALGORITHMS FOR 3D SPARSE POINT CLOUD

IMPROVING PERFORMANCE OF FEATURE EXTRACTION IN SFM ALGORITHMS FOR 3D SPARSE POINT CLOUD
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DOI:
10.5194/isprs-archives-xlii-2-w17-101-2019
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发表时间:
2019-11
期刊:
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
影响因子:
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通讯作者:
F. Condorelli;R. Higuchi;S. Nasu;F. Rinaudo;H. Sugawara
F. Condorelli;R. Higuchi;S. Nasu;F. Rinaudo;H. Sugawara
中科院分区:
其他
文献类型:
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作者:
F. Condorelli;R. Higuchi;S. Nasu;F. Rinaudo;H. Sugawara

文献摘要

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抽象的。使用运动恢复结构算法是获得快速摄影测量重建的常见做法。然而,这些算法的性能是有限的事实,在某些条件下,得到的点云呈现低密度。在处理来自历史档案的材料(例如照片和视频)时,由于摄影测量重建中缺乏必要的信息,仅生成稀疏的点云。本文探讨了提高开源SfM算法性能的方法,以保证在生成的点云中存在战略特征点,即使是稀疏的。为了达到这一目标,摄影测量工作流程提出了处理历史图像。工作流程的第一部分提出了一种方法,允许在摄影测量过程中手动选择特征点。第二部分基于与具有与稀疏点云不同的密度的点云的比较来评估重建的度量质量。该工作流程应用于两个不同的案例研究。卡帕多西亚的Karanlik教堂壁画的变化进行了分析,这要归功于档案照片和最近调查的3D模型的比较。然后,在日本的Komise建筑,修复前后的状态进行了比较。研究结果表明,所采用的方法允许度量尺度和模型的评价也在恶劣的条件下,只有低密度的点云。此外,这个工具应该是伟大的使用艺术和建筑历史学家和地理信息专家,研究文化遗产的演变。
Abstract. The use of Structure-from-Motion algorithms is a common practice to obtain a rapid photogrammetric reconstruction. However, the performance of these algorithms is limited by the fact that in some conditions the resulting point clouds present low density. This is the case when processing materials from historical archives, such as photographs and videos, which generates only sparse point clouds due to the lack of necessary information in the photogrammetric reconstruction. This paper explores ways to improve the performance of open source SfM algorithms in order to guarantee the presence of strategic feature points in the resulting point cloud, even if sparse. To reach this objective, a photogrammetric workflow is proposed to process historical images. The first part of the workflow presents a method that allows the manual selection of feature points during the photogrammetric process. The second part evaluates the metric quality of the reconstruction on the basis of a comparison with a point cloud that has a different density from the sparse point cloud. The workflow was applied to two different case studies. Transformations of wall paintings of the Karanlik church in Cappadocia were analysed thanks to the comparison of 3D model resulting from archive photographs and a recent survey. Then a comparison was performed between the state of the Komise building in Japan, before and after restoration. The findings show that the method applied allows the metric scale and evaluation of the model also in bad condition and when only low-density point clouds are available. Moreover, this tool should be of great use for both art and architecture historians and geomatics experts, to study the evolution of Cultural Heritage.