Joint upsampling and noise reduction for real-time depth map enhancement

Kazuki Matsumoto; Chiyoung Song; Francois de Sorbier; Hideo Saito

doi:10.1117/12.2039190

6 March 2014 Joint upsampling and noise reduction for real-time depth map enhancement

Kazuki Matsumoto, Chiyoung Song, Francois de Sorbier, Hideo Saito

Proceedings Volume 9011, Stereoscopic Displays and Applications XXV; 901120 (2014) https://doi.org/10.1117/12.2039190
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

An efficient system that upsamples depth map captured by Microsoft Kinect while jointly reducing the effect of noise is presented. The upsampling is carried by detecting and exploiting the piecewise locally planar structures of the downsampled depth map, based on corresponding high-resolution RGB image. The amount of noise is reduced by accumulating the downsampled data simultaneously. By benefiting from massively parallel computing capability of modern commodity GPUs, the system is able to maintain high frame rate. Our system is observed to produce the upsampled depth map that is very close to the original depth map both visually and mathematically.

Citation Download Citation

Kazuki Matsumoto, Chiyoung Song, Francois de Sorbier, and Hideo Saito "Joint upsampling and noise reduction for real-time depth map enhancement", Proc. SPIE 9011, Stereoscopic Displays and Applications XXV, 901120 (6 March 2014); https://doi.org/10.1117/12.2039190

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