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Machine Vision-Based 3D Scanning for Upper Limb Prosthesis

. Ahmed Rauf Qureshi, Shahzad Anwar, Gulbadan Sikandar and Ghassan Husnain


Abstract

The 3D reconstruction of upper limb anatomy plays a significant role in many biomedical fields such as ergonomics, motion rehabilitation, prosthesis design etc. Medical fields have extensive applications of various scanning, for instance, X-rays, Computer tomography, MRI and Ultrasound. These techniques provide information on internal organs, however, there is a gap in obtaining information on the outer body parts which could now be taken care of via 3D scanning technologies. The emergence of new RGB-D technology has allowed for a cost-effective approach to 3D scanning for various applications, including medical applications. In This study, a depth cameras ensure rapid acquisition times via capturing geometrical information at video frame rates. Intel RealSense cameras are among the best business options because they strike a solid balance between price, use, size, and accuracy, among other factors. Launched in January 2018, the Intel RealSense D415 offers a narrow field of view and a large acquisition range (about 160-10,000 mm) for capturing moving objects. In comparison, the RGB-D camera provides a cost-effective solution for obtaining 3D point clouds, its collection efficiency and data coverage are inferior to those of laser scanners due to its narrow field of view for indoor application.

 

Index Terms- Depth Camera, Intel RealSense D415, Scanning, Single Shot Data Acquisition.

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