Complementing TLS Point Clouds by Dense Image Matching

Moussa, Wassim; Wenzel, Konrad; Rothermel, Mathias; Abdelwahab, Mohammed; Fritsch, Dieter

doi:10.1260/2047-4970.2.3.453

Cited by 11 publications

(5 citation statements)

References 11 publications

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“…Subsequently, the data was added to the PineTree and the filtering approach described in section 3 was applied. [Moussa et al, 2013] The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-5, 2014 ISPRS Technical Commission V Symposium, 23 -25 June 2014, Riva del Garda, Italy…”

Section: Resultsmentioning

confidence: 99%

Filtering of Point Clouds from Photogrammetric Surface Reconstruction

Wenzel

Rothermel

Fritsch

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The density and data volumes for recorded 3D surfaces increase steadily. In particular during photogrammetric surface reconstruction and laser scanning applications these volumes often exceed the limits of the available hardware and software. The large point clouds and meshes acquired during the projects contain billions of vertices and require scalable data handling frameworks for further processing. Beside the scalability to big data, these methods also should adapt to non-uniform data density and precision resulting from varying acquisition distances, as required for data from Photogrammetry and Laser Scanning. For this purpose, we present a framework called Pine Tree, which is based on an out-of-core octree. It enables fast local data queries, such as nearest neighbor queries for filtering, while dynamically storing and loading data from the hard disk. This way, large amounts of data can be processed on limited main memory. Within this paper, we describe the Pine Tree approach as well as its underlying methods. Furthermore, examples for a filtering task are shown, where overlapping point clouds are thinned out by preserving the locally densest point cloud only. By adding an optional redundancy constraint, point validation and outlier rejection can be applied.

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Section: Resultsmentioning

confidence: 99%

Filtering of Point Clouds from Photogrammetric Surface Reconstruction

Wenzel

Rothermel

Fritsch

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Developments in photogrammetry and terrestrial laser scanning workflows are creating increasingly comprehensive and accurate 3D colored point clouds (Hassan and Fritsch, 2019). The 3D documentation of large-scale and complex structure objects is often accomplished today by combining photogrammetric processes and terrestrial laser scanners (Moussa et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Large Scale and Complex Structure Grotto Digitalization Using Photogrammetric Method: A Case Study of Cave No. 13 in Yungang Grottoes

Xiang,

Niu,

Huang

et al. 2024

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. 3D reconstruction of cultural heritage with large volume and high precision is a technical problem in the field of photogrammetry. This paper studies a high-precision digitalization method for large-volume immovable heritage assets based on photogrammetry and laser scanning. It solves the problem of large-scale aerial triangulation and ensures overall color and geometric consistency while satisfying high-precision modeling of local details. Taking the millimeter accuracy 3D reconstruction project of Cave No. 13 in Yungang Grottoes as an example, we use more than 280,000 arbitrary images to reconstruct the entire cave and verify the effectiveness of the proposed method.

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“…Many researches propose to combine and integrate both TLS and photogrammetric methods as they are capable of collecting precise and dense 3D point clouds (Lerma et al, 2010;Moussa et al, 2013;Xu et al, 2014). Li et al (2008) proposed a 3D model and high resolution imagery fusion for reconstructing 3D building models.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Terrestrial Photogrammetry vs Laser Scanning for Rapid Earthquake Damage Assessment

Vasilakos

Chatzistamatis

Roussou

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Building damage assessment caused by earthquakes is essential during the response phase following a catastrophic event. Modern techniques include terrestrial and aerial photogrammetry based on Structure from Motion algorithm and Laser Scanning with the latter to prove its superiority in accuracy assessment due to the high-density point clouds. However, standardized procedures during emergency surveys often could not be followed due to restrictions of outdoor operations because of debris or decrepit buildings, the high human presence of civil protection agencies, expedited deployment of survey team and cost of operations. The aim of this paper is to evaluate whether terrestrial photogrammetry based on a handheld amateur DSLR camera can be used to map building damages, structural deformations and facade production in an accepted accuracy comparing to laser scanning technique. The study area is the Vrisa village, Lesvos, Greece where a Mw&thinsp;6.3 earthquake occurred on June 12th, 2017. A dense point cloud from some digital images created based on Structure from Motion algorithm and compared with a dense point cloud acquired by a laser scanner. The distance measurement and the comparison were conducted with the Multiscale Model to Model Cloud Comparison method. According to the results, the mean of the absolute distances between the two clouds is 0.038&thinsp;m while the 94.9&thinsp;% of the point distances are less than 0.1&thinsp;m. Terrestrial photogrammetry proved to be an accurate methodology for rapid earthquake damage assessment thus its products were used by local authorities for the calculation of the compensation for the property loss.</p>

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Complementing TLS Point Clouds by Dense Image Matching

Cited by 11 publications

References 11 publications

Filtering of Point Clouds from Photogrammetric Surface Reconstruction

Filtering of Point Clouds from Photogrammetric Surface Reconstruction

Large Scale and Complex Structure Grotto Digitalization Using Photogrammetric Method: A Case Study of Cave No. 13 in Yungang Grottoes

Terrestrial Photogrammetry vs Laser Scanning for Rapid Earthquake Damage Assessment

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