Paper
6 September 2013 High-resolution real-time 3D shape measurement on a portable device
Nikolaus Karpinsky, Morgan Hoke, Vincent Chen, Song Zhang
Author Affiliations +
Abstract
Recent advances in technology have enabled the acquisition of high-resolution 3D models in real-time though the use of structured light scanning techniques. While these advances are impressive, they require large amounts of computing power, thus being limited to using large desktop computers with high end CPUs and sometimes GPUs. This is undesirable in making high-resolution real-time 3D scanners ubiquitous in our mobile lives. To address this issue, this work describes and demonstrates a real-time 3D scanning system that is realized on a mobile device, namely a laptop computer, which can achieve speeds of 20fps 3D at a resolution of 640x480 per frame. By utilizing a graphics processing unit (GPU) as a multipurpose parallel processor, along with a parallel phase shifting technique, we are able to realize the entire 3D processing pipeline in parallel. To mitigate high speed camera transfer problems, which typically require a dedicated frame grabber, we make use of USB 3.0 along with direct memory access (DMA) to transfer camera images to the GPU. To demonstrate the effectiveness of the technique, we experiment with the scanner on both static geometry of a statue and dynamic geometry of a deforming material sample in front of the system.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nikolaus Karpinsky, Morgan Hoke, Vincent Chen, and Song Zhang "High-resolution real-time 3D shape measurement on a portable device", Proc. SPIE 8839, Dimensional Optical Metrology and Inspection for Practical Applications II, 88390K (6 September 2013); https://doi.org/10.1117/12.2021655
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
3D metrology

3D image processing

3D modeling

Computing systems

Structured light

Cameras

3D scanning

Back to Top