Temperature Compensation Method for Raster Projectors Used in 3D Structured Light Scanners

Adamczyk, Marcin

doi:10.3390/s20205778

Cited by 10 publications

(6 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The last limitation is related to the temperature measurements when modeling or correcting the distortion. The useful temperature corresponds to the projector element of the camera and it can differ from the ambient temperature because of two reasons: (i) the warm-up of the device when it is powered on [ 39 ] (internal electronic heat dissipation) and (ii) the heat isolation and slow thermal inertia of the camera (because of its plastic case). It has been tried to minimize these effects by reducing the time between power-on and the capture and increasing the time between a temperature variation and a capture.…”

Section: Resultsmentioning

confidence: 99%

A Method to Compensate for the Errors Caused by Temperature in Structured-Light 3D Cameras

Vila

Boada

Raba³

et al. 2021

Sensors

View full text Add to dashboard Cite

Although low cost red-green-blue-depth (RGB-D) cameras are factory calibrated, to meet the accuracy requirements needed in many industrial applications proper calibration strategies have to be applied. Generally, these strategies do not consider the effect of temperature on the camera measurements. The aim of this paper is to evaluate this effect considering an Orbbec Astra camera. To analyze this camera performance, an experimental study in a thermal chamber has been carried out. From this experiment, it has been seen that produced errors can be modeled as an hyperbolic paraboloid function. To compensate for this error, a two-step method that first computes the error and then corrects it has been proposed. To compute the error two possible strategies are proposed, one based on the infrared distortion map and the other on the depth map. The proposed method has been tested in an experimental scenario with different Orbbec Astra cameras and also in a real environment. In both cases, its good performance has been demonstrated. In addition, the method has been compared with the Kinect v1 achieving similar results. Therefore, the proposed method corrects the error due to temperature, is simple, requires a low computational cost and might be applicable to other similar cameras.

show abstract

Section: Resultsmentioning

confidence: 99%

A Method to Compensate for the Errors Caused by Temperature in Structured-Light 3D Cameras

Vila

Boada

Raba³

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Laser scanners usually consist of a laser source, a model holder, and a digital camera. The structured light scanner consists of three main units: a digital camera, structured light projector, and rigid mechanical frame 45 . To obtain 3D images, laser scanners use a one‐dimensional line pattern, whereas structured light scanners project a two‐dimensional light pattern 46 .…”

Section: Characteristics Of 3d Imaging Devicesmentioning

confidence: 99%

“…The structured light scanner consists of three main units: a digital camera, structured light projector, and rigid mechanical frame. 45 To obtain 3D images, laser scanners use a one-dimensional line pattern, whereas structured light scanners project a two-dimensional light pattern. 46 Structured light scanners can measure information such as reflectivity, texture and the 3D coordinates of every point on the surface of an object.…”

Section: Extraoral Scannersmentioning

confidence: 99%

An overview of three‐dimensional imaging devices in dentistry

Hou

Zhao

et al. 2022

J Esthet Restor Dent

View full text Add to dashboard Cite

Objective To review four types of three‐dimensional imaging devices: intraoral scanners, extraoral scanners, cone‐beam computed tomography (CBCT), and facial scanners, in terms of their development, technologies, advantages, disadvantages, accuracy, influencing factors, and applications in dentistry. Methods PubMed (National Library of Medicine) and Google Scholar databases were searched. Additionally, the scanner manufacturers' websites were accessed to obtain relevant data. Four authors independently selected the articles, books, and websites. To exclude duplicates and scrutinize the data, they were uploaded to Mendeley Data. In total, 135 articles, two books, and 17 websites were included. Results Research and clinical practice have shown that oral and facial scanners and CBCT can be used widely in various areas of dentistry with high accuracy. Conclusion Although further advancement of these devices is desirable, there is no doubt that digital technology represents the future of dentistry. Furthermore, the combined use of different devices may bring dentistry into a new era. These four devices will play a significant role in clinical utility with high accuracy. The combined use of these devices should be explored further. Clinical significance The four devices will play a significant role in clinical use with high accuracy. The combined use of these devices should be explored further.

show abstract

“…Handheld structured light scanners have the capacity to rapidly and accurately develop a high-resolution 3D-surface model, and this scanner can be used in TKA surgery. [38][39][40][41] For example, Chan et al…”

Section: F I G U R E 4 Typical Picture Of Sawbones After Bone Resection: (A) Femoral; (B) Tibialmentioning

confidence: 99%

Better precision of a new robotically assisted system for total knee arthroplasty compared to conventional techniques: A sawbone model study

Chen

Zhang

et al. 2021

Robotics Computer Surgery

View full text Add to dashboard Cite

Background The purpose of this study was to compare the accuracy of this new HURWA robotic‐assisted total knee arthroplasty (TKA) technique to the accuracy of the conventional technique in a sawbone model. Methods The HURWA robotic‐assisted TKA system was applied in the robotic group. After bone resection, all of these sawbones were scanned by the use of a structured light scanning system. Measurements of bone resections, femoral coronal and sagittal measurements, and tibial coronal and sagittal measurements were recorded. Results Compared to the conventional technique, the HURWA robotic‐assisted system significantly improved the accuracy of the bone resection levels and angles. In the robotic group, the accuracy of all of the bone resection levels was below 0.6 mm (with standard deviation [SD] below 0.6 mm), and all of the bone resection angles were below 0.6° (with SD below 0.4°). Conclusion Our data suggest that this novel HURWA robotic‐assisted system can significantly improve the accuracy of bone resection levels and angles.

show abstract

Temperature Compensation Method for Raster Projectors Used in 3D Structured Light Scanners

Cited by 10 publications

References 39 publications

A Method to Compensate for the Errors Caused by Temperature in Structured-Light 3D Cameras

A Method to Compensate for the Errors Caused by Temperature in Structured-Light 3D Cameras

An overview of three‐dimensional imaging devices in dentistry

Better precision of a new robotically assisted system for total knee arthroplasty compared to conventional techniques: A sawbone model study

Contact Info

Product

Resources

About