Accurate 3D Target Positioning in Close Range Photogrammetry with Implicit Image Correction

Jian-dong, Zheng; Zhang, Liyan; Du, Xiaoyu

doi:10.1016/s1000-9361(08)60154-5

Cited by 15 publications

(5 citation statements)

References 21 publications

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“…Note that to achieve proper geometrical shapes of circles, it is important to select appropriate LEDs. As regards the LED's position calibration with the OCMM and LED's tracking, we used centroids as references, but an ellipse contour may be preferred to avoid center location error (see [25]). Also, we selected a camera filter based on the wavelength emitted by the infrared LEDs.…”

Section: Discussionmentioning

confidence: 99%

Performance evaluation of a portable 3D vision coordinate measuring system

et al. 2017

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In this work, we present a portable 3D vision coordinate measuring machine (PCMM) for short range-real time photogrammetry. The PCMM performs 3D measurements of points using a single camera in combination with a hand tool and a computer. The hand tool has infrared LEDs serving as photogrammetric targets. The positions of these targets were pre-calibrated with an optical coordinate-measuring machine defining a local coordinate system on the hand tool. The camera has an infrared filter to exclude all ambient light but infrared targets. Positions of the imaged infrared targets are converted to 3D coordinates using pixel positions and precalibrated positions of the targets. Also, we present a set of criteria for selecting the infrared LEDs and the camera filter, a camera calibration method, a tracking and POSE algorithms, and a 3D coordinate error correction for the PCMM. The correction is performed using the PCMM as a range meter, which implies comparing the 3D coordinate points of the PCMM with a coordinate measuring machine, and then generating a look up table (LUT) for correction. The global error of the PCMM was evaluated under ASME B89.4.22-2004. Sphere and single point errors were around 1 mm, volumetric error were under 3 mm.

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Section: Discussionmentioning

confidence: 99%

Performance evaluation of a portable 3D vision coordinate measuring system

et al. 2017

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“…The final image processing step (see Figure 7) was implemented in Matlab and it is based on the following processing flow (see process flow in Figure 4 This processing is mainly applied on nonoblique images to avoid eccentricity effects [22,23] and to assure a proper accuracy for the determination of the hole center, distinguishing between bezel and hole diameter and, therefore, assessing the 3D position. So, although all images are necessary to solve a photogrammetric network, not all of the features are suitable for this image processing step nor for bundle adjustment step.…”

Section: Developed Solutionmentioning

confidence: 99%

Close Range Photogrammetry for Direct Multiple Feature Positioning Measurement without Targets

et al. 2017

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The main objective of this study is to present a new method to carry out measurements so as to improve the positioning verification step in the wind hub part dimensional validation process. This enhancement will speed up the measuring procedures for these types of parts. An industrial photogrammetry based system was applied to take advantage of its results, and new functions were added to existing capabilities. In addition to a new development based on photogrammetry modelling and image processing, a measuring procedure was defined based on optical and vision system considerations. A validation against a certified procedure by means of a laser-tracker has also been established obtaining deviations of ±0.125 μm/m.

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“…Conversely, photogrammetry challenges do not outweigh its potential benefits so such R&D is justified. The available literature on image based inspection point reconstruction techniques is vast, covering topics such as image correction [44], novel work-flows [45], dealing with environmental disturbances [46], calibration [47], and suggests that there is significant scope to make progress in these areas.…”

Section: Why Photogrammetry?mentioning

confidence: 99%