Regular Articles

Enhancement of sparse silicon retina-based stereo matching using belief propagation and two-stage postfiltering

[+] Author Affiliations
Jürgen Kogler

AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, Vienna 1220, Austria

Florian Eibensteiner

Upper Austria University of Applied Sciences, Softwarepark 11, Hagenberg 4232, Austria

Martin Humenberger

AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, Vienna 1220, Austria

Christoph Sulzbachner

AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, Vienna 1220, Austria

Margrit Gelautz

Vienna University of Technology, Favoritenstraße 9-11, Vienna 1040, Austria

Josef Scharinger

Johannes Kepler University Linz, Altenberger Straße 69, Linz 4040, Austria

J. Electron. Imaging. 23(4), 043011 (Jul 22, 2014). doi:10.1117/1.JEI.23.4.043011
History: Received December 29, 2013; Revised May 30, 2014; Accepted June 24, 2014
Text Size: A A A

Abstract.  We present two improvement techniques for stereo matching algorithms using silicon retina sensors. We verify the results with ground truth data. In contrast to conventional monochrome/color cameras, silicon retina sensors deliver an asynchronous flow of events instead of common framed and discrete intensity or color images. While using this kind of sensor in a stereo setup to enable new fields of applications, it also introduces new challenges in terms of stereo image analysis. Using this type of sensor, stereo matching algorithms have to deal with sparse event data, thus, less information. This affects the quality of the achievable disparity results and renders improving the stereo matching algorithms a necessary task. For this reason, we introduce two techniques for increasing the accuracy of silicon retina stereo results, in the sense that the average distance error is reduced. The first method is an adapted belief propagation approach optimizing the initial matching cost volume, and the second is an innovative two-stage postfilter for smoothing and outlier rejection. The evaluation shows that the proposed techniques increase the accuracy of the stereo matching and constitute a useful extension for using silicon retina sensors for depth estimation.

Figures in this Article
© 2014 SPIE and IS&T

Citation

Jürgen Kogler ; Florian Eibensteiner ; Martin Humenberger ; Christoph Sulzbachner ; Margrit Gelautz, et al.
"Enhancement of sparse silicon retina-based stereo matching using belief propagation and two-stage postfiltering", J. Electron. Imaging. 23(4), 043011 (Jul 22, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.4.043011


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.