A speed-optimized RGB-Z capture system with improved denoising capabilities

Aleksandra Chuchvara; Mihail Georgiev; Atanas Gotchev

doi:10.1117/12.2048564

4 March 2014 A speed-optimized RGB-Z capture system with improved denoising capabilities

Aleksandra Chuchvara, Mihail Georgiev, Atanas Gotchev

Proceedings Volume 9019, Image Processing: Algorithms and Systems XII; 90190F (2014) https://doi.org/10.1117/12.2048564
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

We have developed an end-to-end system for 3D scene sensing which combines a conventional high-resolution RGB camera with a low-resolution Time-of-Flight (ToF) range sensor. The system comprises modules for range data denoising, data re-projection and non-uniform to uniform up-sampling and aims at composing high-resolution 3D video output for driving auto-stereoscopic 3D displays in real-time. In our approach, the ToF sensor is set to work with short integration time with the aim to increase the capture speed and decrease the amount of motion artifacts. However, reduced integration time leads to noisy range images. We specifically address the noise reduction problem by performing a modification of the non-local means filtering in spatio-temporal domain. Time-consecutive range images are utilized not only for efficient de-noising but also for accurate non-uniform to uniform up-sampling on the high-resolution RGB grid. Use is made of the reflectance signal of the ToF sensor for providing a confidence-type of feedback to the denosing module where a new adaptive averaging is proposed to effectively handle motion artifacts. As of the non-uniform to uniform resampling of range data is concerned, we have developed two alternative solutions; one relying entirely on the GPU power and another being applicable to any general platform. The latter method employs an intermediate virtual range camera recentering after with the resamploing process degrades to a 2D interpolation performed within the lowresolution grid. We demonstrate a real-time performance of the system working in low-power regime.

Citation Download Citation

Aleksandra Chuchvara, Mihail Georgiev, and Atanas Gotchev "A speed-optimized RGB-Z capture system with improved denoising capabilities", Proc. SPIE 9019, Image Processing: Algorithms and Systems XII, 90190F (4 March 2014); https://doi.org/10.1117/12.2048564

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available