Evaluation of the Quality of Action Cameras With Wide-Angle Lenses in Uav Photogrammetry

Hastedt, H.; Ekkel, T.; Lühmann, Thomas

doi:10.5194/isprsarchives-xli-b1-851-2016

Cited by 15 publications

(16 citation statements)

References 7 publications

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“…The lens corrections applied to the fisheye GoPro images, although seeming somewhat drastic ( Figure 6), were effective, resulting in an Agisoft model relatively free of distortion ( Figure 8). Our results show that distorted source imagery can be addressed by simple tools that are not labor-intensive (e.g., Hastedt et al, 2016;Wierzbicki, 2018). The Agisoft model built from the corrected imagery was of sufficient quality to permit quantitative comparison with a model generated by a different camera.…”

Section: Effective Efficient Methodology For Quantitative Repeat Phomentioning

confidence: 83%

“…The last input is whether or not to enable model scaling for cases where the models are of slightly different sizes [136]. CloudCompare uses a scaling factor only when it improves alignment between models, so its use is highly recommended, especially given that scaling has been useful with models generated with wide-angle imagery even in highly controlled laboratory settings [58]. Alignment scaling was therefore enabled in this study.…”

Section: Quantitative Differencing Using Cloudcomparementioning

confidence: 99%

“…The ultra-wide-angle (fisheye) lenses mounted on the popular consumer camera brand GoPro capture a~120 • field of view, but have barrel distortion due to their short focal length. Despite their limitations, GoPro cameras are popular tools for acquiring UAV imagery [24,31,[58][59][60], they are relatively inexpensive, are light enough to be carried by off-the-shelf consumer drones, offer good resolution for their size, and can image large areas at relatively low altitudes (where lower wind speeds make UAV operation easier) [58,[61][62][63][64]. However, ultra-wide-angle lenses require substantial calibration and correction to correct the inherent barrel distortion [33,59].…”

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confidence: 99%

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Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits

Nagle-McNaughton

Cox

2019

Remote Sensing

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Repeat photogrammetry is increasingly the go-too tool for long-term geomorphic monitoring, but quantifying the differences between structure-from-motion (SfM) models is a developing field. Volumetric differencing software (such as the open-source package CloudCompare) provides an efficient mechanism for quantifying change in landscapes. In this case study, we apply this methodology to coastal boulder deposits on Inishmore, Ireland. Storm waves are known to move these rocks, but boulder transportation and evolution of the deposits are not well documented. We used two disparate SfM data sets for this analysis. The first model was built from imagery captured in 2015 using a GoPro Hero 3+ camera (fisheye lens) and the second used 2017 imagery from a DJI FC300X camera (standard digital single-lens reflex (DSLR) camera); and we used CloudCompare to measure the differences between them. This study produced two noteworthy findings: First, volumetric differencing reveals that short-term changes in boulder deposits can be larger than expected, and that frequent monitoring can reveal not only the scale but the complexities of boulder transport in this setting. This is a valuable addition to our growing understanding of coastal boulder deposits. Second, SfM models generated by different imaging hardware can be successfully compared at sub-decimeter resolution, even when one of the camera systems has substantial lens distortion. This means that older image sets, which might not otherwise be considered of appropriate quality for co-analysis with more recent data, should not be ignored as data sources in long-term monitoring studies.Despite these improvements in protocols for data collection and analysis, quantifying change via repeat photogrammetry remains a challenge, generally requiring manipulation of digital terrain models (DTMs) using Geographic Information Systems (GIS) [45,46]. But recent innovations in 3D differencing software, as implemented in the open-source package CloudCompare (www.danielgm.net/cc/) enable rapid, objective, and replicable quantitative differencing [47]. CloudCompare is a cross-platform 3D point cloud and mesh processing package, which provides a suite of features for direct comparison of dense point clouds (>10 million points) and meshes on standard consumer computer hardware [48,49]. Accessibility and ease of use make CloudCompare an attractive tool, and it is applied increasingly in a variety of fields, including mapping [50,51], archaeology [52,53], and geomorphology [54][55][56][57].Another issue relevant to long term monitoring studies is how to deal with repeat imagery captured using different kinds of hardware, with different resolutions and/or distortion levels. The ultra-wide-angle (fisheye) lenses mounted on the popular consumer camera brand GoPro capture a~120 • field of view, but have barrel distortion due to their short focal length. Despite their limitations, GoPro cameras are popular tools for acquiring UAV imagery [24,31,[58][59][60], they are relatively inexpensive, are light enou...

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Section: Effective Efficient Methodology For Quantitative Repeat Phomentioning

confidence: 83%

Section: Quantitative Differencing Using Cloudcomparementioning

confidence: 99%

mentioning

confidence: 99%

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Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits

Nagle-McNaughton

Cox

2019

Remote Sensing

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“…The accuracy of orthophotos produced with the GoPro images was tested against check points measured with RTK-GNSS approach. Hastedt et al (2016) investigated the reliability and accuracy of GoPro Hero4 for unmanned aerial vehicle (UAV) based photogrammetry, using different software packages, calibration setup, acquisition mode (i.e., single images vs video) and resolution. A five-head GoPro system for indoor mapping purposes was proposed by Teo (2015).…”

Section: Related Workmentioning

confidence: 99%

Multi-Camera System Calibration of a Low-Cost Remotely Operated Vehicle for Underwater Cave Exploration

Nocerino¹,

Nawaf²,

Saccone³

et al. 2018

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

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<p><strong>Abstract.</strong> Exploration, documentation and mapping of underwater environment is one of the biggest open challenges for science and engineering. Humankind is not naturally designed to operate in water and, despite the enormous technological advancement that offers nowadays unprecedented opportunities, diving and working underwater is still very dangerous, especially in confined spaces such as underwater caves. Great research efforts are currently devoted to underwater autonomous navigation, but available solutions still mainly rely on complex and expensive systems, due to the difficulty of adapting localization and mapping sensors and algorithms suited for terrestrial or aerial applications. However, small and affordable underwater remotely operated vehicles (ROVs) are available, which offer good opportunities for underwater exploration and mapping. This paper focuses on the development of a small, low-cost ROV designed for 3D mapping of underwater environments, like caves. The system is based on a commercially available vehicle, the BluRov2, and relies on the use of up to 12 action cameras (GoPro) mounted on it. A trifocal camera system for underwater real-time visual odometry can also be included. The work describes the photogrammetric procedure developed for the synchronization and calibration of the GoPro cameras and provides a thorough analysis on the achievable results.</p>

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“…Standard wide-angle lens (fish-eye lens) assembled in action cameras are characterized by short lengths of focal lengths and high radial distortions. So far in UAV photogrammetry dominated non-metric amateur cameras [1], [2], [3], [4], [5] which were equipped in low cost lens low-class. Carrying out the calibration of such cameras equipped with normal angle lens very often didn't provide the internal orientation elements for the repetitiveness of this elements.…”

Section: Introductionmentioning

confidence: 99%

Calibration Low-Cost Cameras with Wide-Angle Lenses for Measurements

Wierzbicki¹

2018

JAMRIS

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So far too many examinations concerning the possibility of the application action cameras weren't conducted in UAV photogrammetric studies. However in the recent time development of the action cameras production technology he let receive sensors which are light, userfriendly, and most importantly can gain images and video sequences of high resolution. The essential meaning has taking into account the camera's influencing factors in UAV photogrammetry. Due to the fact that the action cameras are non-metric cameras the significant influence on the quality of photogrammetric studies has a stability internal orientation of elements of such cameras. Within the framework of carried out research calibration of five GoPro Hero 4 Black. The calibration of cameras was carried out on different calibration tests in the GML Camera Calibration Toolbox and Agisoft Lens software. Different calibration setups and processing are presented and discussed in this article. Additionally a repetitiveness of achieved results of the calibration was examined in five GoPro cameras Hero 4 Black. Dedicated calibration templates in the form of chessboards were used to the calibration. As a part of the research a comparative analysis of the results have been done. Based on performed examinations a repetitiveness of determined internal orientation elements was checked under different video acquisition modes.

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Evaluation of the Quality of Action Cameras With Wide-Angle Lenses in Uav Photogrammetry

Cited by 15 publications

References 7 publications

Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits

Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits

Multi-Camera System Calibration of a Low-Cost Remotely Operated Vehicle for Underwater Cave Exploration

Calibration Low-Cost Cameras with Wide-Angle Lenses for Measurements

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