University of Twente Student Theses


RPi-based passive 5-camera system for 3D face acquisition

Valk, D.J. van der (2019) RPi-based passive 5-camera system for 3D face acquisition.

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Abstract:A Raspberry Pi (RPi-) based 5-camera system was analysed for its potential to create high resolution - up to 0.2mm depth steps - 3D reconstructions of faces. A theoretical framework to determine the limits of the system was proposed, including the input depth resolution, a precision qualifier and maximum time synchronisation offsets between the cameras. The theoretical limits however could not (yet) be verified in practice. The found limits for this specific implementation were a max distance of 14cm from the cameras for a 0.2mm input depth resolution, and a theoretical maximum time offset of 0.016ms. A practical methodology was set up to generate a 3D face reconstruction starting from lens choices and adjustments, via calibration to reconstruction and comparison with other references. This resulted in a reconstruction at 0.4m where > 90% of the 3D reconstructed points were max 3mm off compared to a reference, set by a medical 3D face reconstruction device - the 3dMD. Various prospects for further improvement were found.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Electrical Engineering MSc (60353)
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