Assessment of the accuracy of 3D models obtained with DSLR camera and Kinect v2

Lachat, Elise; Macher, H.; Landes, Tania; Grussenmeyer, Pierre

doi:10.1117/12.2184866

Cited by 7 publications

(8 citation statements)

References 11 publications

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“…Since the sensor can also provide 3D information in the form of point clouds, the geometrical quality of data acquired on small objects such as a statue [30], or on bigger scenes such as archaeological walls [31] has also been assessed. More recently, the use of a Kinect v2 sensor with the Kinect Fusion tool [32] has shown good results for the direct reconstruction of 3D meshes [33].…”

Section: Towards 3d Modeling Of Objects With a Rgb-d Cameramentioning

confidence: 99%

“…A second problem is related to deformations of the geometry linked to the viewpoint. Among all error sources, these two problems which were detailed in [33] obviously contribute to the low visual quality of the mesh performed.…”

Section: Creation Of a Meshed Modelmentioning

confidence: 99%

“…In [33], the Kinect Fusion tool associated with the Kinect v2 sensor was used in its standalone version to scan another architectonic fragment. After a cloud-mesh comparison with a reference model, a standard deviation of 1.4 mm and a mean deviation of 1.1 mm were reported for the Kinect Fusion model.…”

Section: Kinect Fusion Toolmentioning

confidence: 99%

“…For this purpose, [33] presents models obtained on the same archaeological material through DSLR camera pictures acquisition and use of an image-based modeling solution. With a mean deviation smaller than 1 mm and very local small deviations, photogrammetry obviously provides a high level of detail on very accurate models.…”

Section: Rgb-d Camera As An Alternative To Photogrammetry?mentioning

confidence: 99%

“…Indeed, it has been shown in [33] that some geometric deformations are directly related to the acquisition viewpoints. As a matter of fact, the choice of a network of eight circular acquisitions realized in the proposed experiment is questionable.…”

Section: Suggested Improvementsmentioning

confidence: 99%

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Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling

et al. 2015

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Abstract:In the last decade, RGB-D cameras -also called range imaging cameras -have known a permanent evolution. Because of their limited cost and their ability to measure distances at a high frame rate, such sensors are especially appreciated for applications in robotics or computer vision. The Kinect v1 (Microsoft) release in November 2010 promoted the use of RGB-D cameras, so that a second version of the sensor arrived on the market in July 2014. Since it is possible to obtain point clouds of an observed scene with a high frequency, one could imagine applying this type of sensors to answer to the need for 3D acquisition. However, due to the technology involved, some questions have to be considered such as, for example, the suitability and accuracy of RGB-D cameras for close range 3D modeling. In that way, the quality of the acquired data represents a major axis. In this paper, the use of a recent Kinect v2 sensor to reconstruct small objects in three dimensions has been investigated. To achieve this goal, a survey of the sensor characteristics as well as a calibration approach are relevant. After an accuracy assessment of the produced models, the benefits and drawbacks of Kinect v2 compared to the first version of the sensor and then to photogrammetry are discussed.

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Section: Towards 3d Modeling Of Objects With a Rgb-d Cameramentioning

confidence: 99%

Section: Creation Of a Meshed Modelmentioning

confidence: 99%

Section: Kinect Fusion Toolmentioning

confidence: 99%

Section: Rgb-d Camera As An Alternative To Photogrammetry?mentioning

confidence: 99%

Section: Suggested Improvementsmentioning

confidence: 99%

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