Hardware module for low-resource and real-time stereo vision engine using semi-global matching approach-Reference-Cited by-同舟云学术

Hardware module for low-resource and real-time stereo vision engine using semi-global matching approach

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th Symposium on Integrated Circuits and Systems Design Chip on the Sands - SBCCI '17
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Author:

Cambuim Lucas F. S.¹,Barbosa João P. F.¹,Barros Edna N. S.¹

Affiliation:

1. Cidade Universitária, Recife, Pernambuco, Brazil

Publisher

ACM Press

Reference20 articles.

1. Christian Banz, Sebastian Hesselbarth, Holger Flatt, Holger Blume, and Peter Pirsch. 2010. Real-time stereo vision system using semi-global matching disparity estimation: Architecture and FPGA-implementation. InEmbedded Computer Systems (SAMOS), 2010 International Conference on.IEEE, 93--101.

2. Jonathan T Barron and Ben Poole. 2016. The fast bilateral solver. InEuropean Conference on Computer Vision.Springer, 617--632.

3. Stefan K Gehrig, Felix Eberli, and Thomas Meyer. 2009. A real-time low-power stereo vision engine using semi-global matching. InInternational Conference on Computer Vision Systems.Springer, 134--143.

4. Stefan K Gehrig and Clemens Rabe. 2010. Real-time semi-global matching on the CPU. InComputer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on.IEEE, 85--92.

5. Richard Hartley and Andrew Zisserman. 2003.Multiple View Geometry in Computer Vision(2 ed.). Cambridge University Press, New York, NY, USA.

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