Dense Point Cloud Quality Factor as Proxy for Accuracy Assessment of Image-Based 3D Reconstruction

Javadnejad, Farid; Slocum, Richard K.; Gillins, Daniel T.; Olsen, Michael J.; Parrish, Christopher

doi:10.1061/(asce)su.1943-5428.0000333

Cited by 24 publications

(8 citation statements)

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“…The set of parameters used to control the quality of the process and the results obtained are listed in Table 2. In addition to this parameter set, it is possible to define other parameters on the 3DDPC, such as DPGFs (Javadnejad et al 2021) that include proximity to keypoint features, distance to GCPs, angle of incidence, camera separation distance, number of overlapping images, brightness index, and darkness index, which could be assessed by Sfm-MVS processing of historical images. Using the depth maps (Fig.…”

Section: Resultsmentioning

confidence: 99%

Application of Improved Accuracy SFM-MVS for Photogrammetric Restitution and Comparison of Pre- And Post-Eruption Archival Aerial Imagery on Deception Island (South Shetland, Antarctica)

Paredes

Vega‐Panizo

Ropero³

2021

Proceedings - 3rd Congress in Geomatics Engineering - CIGeo

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Despite today's extensive remote sensing imagery with all kinds of sensors, the use of old aerial imagery is still importantin the study of slowly evolving land processes to reconstruct past landscape forms. Numerous organisations sharephotogrammetric data in public repositories, offering opportunities to exploit them to identify historical, natural andanthropogenic topographic changes, which is particularly interesting if they are difficult to access areas, possibly affectedsince historic times by climate change and other geodynamic processes. This work proposes and applies a workflow basedon the SfM-MVS photogrammetric technique to 22 and 33 historical aerial photographs of the English FIDASE (1956/57)and Argentinean Navy (1968) flights, scanned at 1016dpi and 96dpi, black and white, of Deception Island (South Shetland,Antarctica). The photogrammetric processing controls the threshold values of the reconstruction uncertainties andprojection accuracy. The 3D point clouds obtained are geroreferenced with 37 ground control points (GCP) geographicallypositioned in a QuickBird2 satellite image over island areas not affected by volcanism. The quality of the DTM is controlledby comparison with the 1960 topographic map 1:25000 of the island, which allows the volumes of material emitted in thevolcanic eruption of 1967 to be evaluated. The results obtained improve considerably and extend the set of resultscompared to those obtained by classical contour line digitizing. The applied method, the DTM and orthomosaic of 1956and 1968 presented will allow us to evaluate, together with the analysis applied to later historical flights, English 1979 andChilean 1986, the recent changes produced by the recent volcanism, the local external geodynamics, the possible climaticdeterioration and the scope of current human activity from 1956 to the present day.

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Section: Resultsmentioning

confidence: 99%

Application of Improved Accuracy SFM-MVS for Photogrammetric Restitution and Comparison of Pre- And Post-Eruption Archival Aerial Imagery on Deception Island (South Shetland, Antarctica)

Paredes

Vega‐Panizo

Ropero³

2021

Proceedings - 3rd Congress in Geomatics Engineering - CIGeo

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“…To ensure data precision, high-resolution images must be captured. (3) Image-based 3D reconstruction algorithms [46], such as structure from motion (SFM) [31] and multiview stereo (MVS) [33], are adopted to generate a dense point cloud model of the object from multiple images captured by the UAVs. ( 4 2.1.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, an overview of UAV and image-based 3D reconstruction discussed the major factors that infuence accuracy and demonstrated the accuracy and limitations of UAV-based topographic surveying [31]. Te fve infuence factors (fight height, average image quality, image overlap, GCP quantity, and camera focal lengths) [32] and seven indices (including proximity to key-point features, distance to GCPs, angle of incidence, camera stand-of distances, number of overlapping images, brightness index, and darkness index) [33] impacting 3D modeling accuracy have been investigated. Moreover, the diferent software for surveying and 3D reconstruction could also afect the accuracy of point cloud models [9].…”

Section: Introductionmentioning

confidence: 99%

“…Te point cloud model of engineering structures is mostly reconstructed with centimeter accuracy using images captured by the UAV, which is used for structural damage inspection [34]. Moreover, the region-scale point cloud model can be reconstructed with centimeter accuracy using image-based 3D reconstruction [33]. Te millimeter-scale resolution of the point cloud model is displayed for infrastructure condition assessment using an image-based systematic and adaptive reconstruction technique [35].…”

Section: Introductionmentioning

confidence: 99%

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Feasibility of Accurate Point Cloud Model Reconstruction for Earthquake-Damaged Structures Using UAV-Based Photogrammetry

Shan

Zhu

2023

Structural Control and Health Monitoring

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Camera-enabled unmanned aerial vehicles (UAVs) provide a promising technique to considerably speed up the inspection and visual data collection from regions that may otherwise be inaccessible. In addition, the technology of image-based 3D reconstruction can generate a point cloud model using images captured by UAVs. However, the performance of the point cloud modeling may be affected by multiple factors, such as the modeling software, ground control points (GCPs), and UAV flight modes. In this study, three common software packages were compared, and Pix4Dmapper was considered a suitable software for point cloud modeling for earthquake-damaged buildings. The accuracy and resolution of point cloud models are usually evaluated by root mean square error (RMSE) and ground sampling distance (GSD). The effects of the main factors, including the number of GCPs, distribution of GCPs, flight manner of the UAV, and distance from the UAV to the target, were investigated on the basis of two real-world multistory earthquake-damaged structures. The influence rules of the main factors revealed that a close range, automatic flight mode of the UAV, a large number of GCPs, and a relatively wide distribution of the GCPs may generate a point cloud model with low computational costs, high accuracy, and high resolution. In the particular illustration example here, the RMSE is 6.78 mm while the GSD is 1.60 mm. Finally, rapid structural damage inspection was demonstrated using an accurate point cloud model and compared with the inspection results of a total station and terrestrial laser scanner point cloud models. The comparison of different inspection results showed that the relative errors were relatively acceptable within 4%.

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“…It has become widely available thanks to the development of mobile applications using cameras installed in smartphones [ 3 ]. However, reconstructions made with these applications do not provide sufficient reliability for engineering applications [ 4 ]. Its potential use is building surveying, cost estimation, modeling space for virtual and augmented reality [ 5 , 6 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Histogram Adjustment of Images for Improving Photogrammetric Reconstruction

Łabędź

Skabek

Ozimek

et al. 2021

Sensors

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The accuracy of photogrammetric reconstruction depends largely on the acquisition conditions and on the quality of input photographs. This paper proposes methods of improving raster images that increase photogrammetric reconstruction accuracy. These methods are based on modifying color image histograms. Special emphasis was placed on the selection of channels of the RGB and CIE L*a*b* color models for further improvement of the reconstruction process. A methodology was proposed for assessing the quality of reconstruction based on premade reference models using positional statistics. The analysis of the influence of image enhancement on reconstruction was carried out for various types of objects. The proposed methods can significantly improve the quality of reconstruction. The superiority of methods based on the luminance channel of the L*a*b* model was demonstrated. Our studies indicated high efficiency of the histogram equalization method (HE), although these results were not highly distinctive for all performed tests.

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Dense Point Cloud Quality Factor as Proxy for Accuracy Assessment of Image-Based 3D Reconstruction

Cited by 24 publications

References 58 publications

Application of Improved Accuracy SFM-MVS for Photogrammetric Restitution and Comparison of Pre- And Post-Eruption Archival Aerial Imagery on Deception Island (South Shetland, Antarctica)

Application of Improved Accuracy SFM-MVS for Photogrammetric Restitution and Comparison of Pre- And Post-Eruption Archival Aerial Imagery on Deception Island (South Shetland, Antarctica)

Feasibility of Accurate Point Cloud Model Reconstruction for Earthquake-Damaged Structures Using UAV-Based Photogrammetry

Histogram Adjustment of Images for Improving Photogrammetric Reconstruction

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