Robust geometric, phase and colour structured light projection system calibration

Szelag, K.; Mączkowski, Grzegorz; Gierwiało, Radosław; Gebarska, A.; Sitnik, Robert

doi:10.1016/j.opelre.2017.10.001

Cited by 2 publications

(3 citation statements)

References 32 publications

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“…Key aspect 2 is implemented using the PrM. All the visual information rendered by a graphics card using the segmented medical data and recalculated using MARVIS is projected onto the destination phantom surface by the PrM projector, which is calibrated as the inverse pinhole camera [29]. More details on the projection system are provided in Section 2.9.…”

Section: Projection Modulementioning

confidence: 99%

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Medical Augmented-Reality Visualizer for Surgical Training and Education in Medicine

et al. 2019

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This paper presents a projection-based augmented-reality system (MARVIS) that supports the visualization of internal structures on the surface of a liver phantom. MARVIS is endowed with three key features: tracking of spatial relationship between the phantom and the operator’s head in real time, monoscopic projection of internal liver structures onto the phantom surface for 3D perception without additional head-mounted devices, and phantom internal electronic circuit to assess the accuracy of a syringe guidance system. An initial validation was carried out by 25 medical students (12 males and 13 females; mean age, 23.12 years; SD, 1.27 years) and 3 male surgeons (mean age, 43.66 years; SD, 7.57 years). The validation results show that the ratio of failed syringe insertions was reduced from 50% to 30% by adopting the MARVIS projection. The proposed system suitably enhances a surgeon’s spatial perception of a phantom internal structure.

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Section: Projection Modulementioning

confidence: 99%

“…First, the PhTM must be calibrated to estimate the internal and external parameters of the projector in the PrM and the camera in the PhTM, using the pinhole method proposed in Ref. [29]. The same algorithm and calibration pattern are used to calibrate the pair of stereo cameras (HdTC 1 and HdTC 2 ) in the HdTM.…”

Section: Global Calibrationmentioning

confidence: 99%

Medical Augmented-Reality Visualizer for Surgical Training and Education in Medicine

et al. 2019

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“…It is also worth mentioning that the pinhole geometric procedure is possible with only two artifact positions, as described in Ref. 44. • Calculate the camera parameters Zhang's procedure with radial and tangential distortion is used.…”

Section: Intrinsic Calibrationmentioning

confidence: 99%

Real-time camera pose estimation based on volleyball court view

Szelag¹,

Kurowski²,

Bolewicki³

et al. 2019

Opto-Electronics Review

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The use of technology in sports has increased in recent years. One of the most influential of these technologies is referee support systems. Team sports such as volleyball require accurate and robust tracking systems that do not affect either the players or the court. This paper introduces the application of intrinsic and extrinsic camera calibration in a 12-camera volleyball referee system. Intrinsic parameters are calculated by using the classic pinhole model and Zhang's method. To perform extrinsic calibration in real time, the volleyball court is treated as a global calibration artifact. Calibration keypoints are defined as courtline intersections. In addition, a new keypoint detection algorithm is proposed. It enables achievement of an accurate camera pose in regard to the court. With all 12 cameras calibrated in a common coordinate system, a dynamic camera stereo pair creation is possible. Therefore, with known ball 2D image coordinates, the 3D real ball coordinates can be reconstructed and the ball trajectory can be estimated. The performance of the proposed method is tested on a synthetic data set, including 3Ds Max rendering and real data scenarios. The mean camera pose error calculated for data biased with keypoint detection errors is approximately equal to 0.013% of the measurement volume. For the real data experiment with a human hand phantom, it is possible to determine the presence of the human phantom on the basis of the ball reflection attitude.

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Robust geometric, phase and colour structured light projection system calibration

Cited by 2 publications

References 32 publications

Medical Augmented-Reality Visualizer for Surgical Training and Education in Medicine

Medical Augmented-Reality Visualizer for Surgical Training and Education in Medicine

Real-time camera pose estimation based on volleyball court view

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