Abstract
In order to improve outdoor performance of vehicle binocular system, the stereo matching algorithm based on “3bit-Census Transformation & An Adaptive window aggregation based on edge truncation & Fast Parallax Calculation” was proposed. The stereo matching algorithm based on this framework improved the robustness, matching accuracy and efficiency of the calculation from different stages. The experimental results show that the algorithm proposed in this paper is better than the traditional algorithm and can meet the requirements of the vehicle binocular system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tong, Z., Zhao, T., He, L., Wang, X.: Localization and driving speed detection for construction vehicles based on binocular vision. China Mech. Eng. 29(4), 423–428 (2018)
Xiong, X., Hua, C., Fang, C., Chen, Y.: Research on free-form surface stereo matching method based on improved census transform. In: 35th Chinese Control Conference, pp. 4889–4893. IEEE, Chengdu (2016)
Lin, S., Yin, X., Tang, Y.: Research status and prospect of binocular stereo matching technology. Sci. Technol. Eng. 17(30), 135–147 (2017)
Dehnavi, M., Eshghi, M.: FPGA based real-time on-road stereo vision system. J. Syst. Archit. 81, 32–43 (2017)
Men, Y., Zhang, G., Men, C., Ma, N.: A stereo matching algorithm based on four-moded census and relative confidence plane fitting. Chin. J. Electron. 24(4), 807–812 (2015)
Hirschmüller, H., Innocent, P., Garibaldi, J.: Real-time correlation-based stereo vision with reduced border errors. Int. J. Comput. Vision 47(1–3), 229–246 (2002)
Kalra, A., Chhokar, R.: A hybrid approach using Sobel and canny operator for digital image edge detection. In: 2016 International Conference on Micro-Electronics and Telecommunication Engineering, pp. 305–310. IEEE, Ghaziabad (2017)
Middlebury Stereo Evaluation. http://vision.middlebury.edu. Accessed 9 June 2018
Mei, X., Sun, X., Zhou, M., Jiao, S., Wang, H., Zhang, X.: On building an accurate stereo matching system on graphics hardware. In: IEEE International Conference on Computer Vision Workshops, pp. 467–474. IEEE, Barcelona (2012)
Peng, Y., Li, G., Wang, R., Wang, W.: Stereo matching with space-constrained cost aggregation and segmentation-based disparity refinement. In: Three-Dimensional Image Processing, Measurement. International Society for Optics and Photonics, vol. 9393, pp. 939309-1-939309-11 (2015)
Do, M.N.: Cross-based local multipoint filtering. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 430–437. IEEE, Providence (2012)
Wang, Y., Dunn, E., Frahm, J.: Increasing the efficiency of local stereo by leveraging smoothness constraints. In: 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, pp. 246–253. IEEE, Zurich (2012)
Tombari, F., Mattoccia, S., Stefano, L., Addimanda, E.: Near real-time stereo based on effective cost aggregation. In: 19th International Conference on Pattern Recognition, pp. 1–4. IEEE, Tampa (2009)
Humenberger, M., Zinner, C., Weber, M., Kubinger, W., Vincze, M.: A fast stereo matching algorithm suitable for embedded real-time systems. Comput. Vis. Image Underst. 114(11), 1180–1202 (2010)
Scharstein, D., Szeliski, R., Zabih, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. In: Stereo and Multi-Baseline Vision, pp. 7–42. IEEE, Kauai (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhang, F., Zhao, G., Liu, H., Qin, W. (2019). A Stereo Matching Algorithm for Vehicle Binocular System. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_57
Download citation
DOI: https://doi.org/10.1007/978-3-030-19086-6_57
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19085-9
Online ISBN: 978-3-030-19086-6
eBook Packages: Computer ScienceComputer Science (R0)