Open Access
Issue
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
Article Number 06032
Number of page(s) 6
Section Artificial Recognition and Application
DOI https://doi.org/10.1051/matecconf/202133606032
Published online 15 February 2021
  1. Yan W, Liu C, Luo W. Fast and low complexity image stitching method on mobile phones[C]// International Conference on Control. IEEE, (2015). [Google Scholar]
  2. Xiong Y, Pulli K. Fast panorama stitching for high-quality panoramic images on mobile phones[J]. IEEE Transactions on Consumer Electronics, (2010), 56(2):298-306. [Google Scholar]
  3. Gandhi T, Trivedi M.M. Vehicle Surround Capture: Survey of Techniques and a Novel Omni-Vi de o -Based Approach for Dynamic Panoramic Surround Maps[J]. IEEE Transactions on Intelligent Transportation Systems, (2006), 7(3)(3):293-308. [Google Scholar]
  4. Chen Y.Y, Tu Y.Y, Chiu C.H, et al. An embedded system for vehicle surrounding monitoring[C]// International Conference on Power Electronics & Intelligent Transportation System. IEEE, (2010). [Google Scholar]
  5. Lowe D.G. Distinctive Image Features from Scale-Invariant Keypoints[J]. International Journal of Computer Vision, (2004), 60(2):91-110. [Google Scholar]
  6. Bay H, Ess A, Tuytelaars T, et al. Speeded-Up Robust Features[J]. Computer Vision & Image Understanding, (2008), 110(3):404-417. [Google Scholar]
  7. Fischler M.A, Bolles R.C. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography[J]. Readings in Computer Vision, (1987):726-740. [Google Scholar]
  8. Sattler T, Leibe B, Kobbelt L. SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter[C]// Computer Vision, 2009 IEEE 12th International Conference on. IEEE, (2009). [Google Scholar]
  9. Chum O. Matching with PROSAC — Progressive Sample Consensus[J]. Proc.conf.on Cvpr, (2005), 1(2):220-226 vol. 1. [Google Scholar]
  10. Matas J, Chum O. Randomized RANSAC with Sequential Probability Ratio Test[C]// Proc. International Conference on Computer Vision, 2005. IEEE, (2005). [Google Scholar]

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