SPRACX1A April   2021  – April 2021 TDA4VM , TDA4VM-Q1

 

  1.   Trademarks
  2. 1Introduction
  3. 2The Visual Localization Problem
    1. 2.1 Key Point Extraction and Descriptor Computation
    2. 2.2 Feature Matching and Pose Estimation
  4. 3Visual Localization on TDA4VM
  5. 4Example Visual Localization Application
    1. 4.1 Optimized Building Blocks for Your Own Visual Localization Pipeline
  6. 5References
  7. 6Revision History

References

  1. https://www.gps.gov/systems/gps/performance/accuracy/
  2. Rublee, Ethan, et al. "ORB: An efficient alternative to SIFT or SURF." 2011 International conference on computer vision. IEEE, 2011.
  3. Alcantarilla, P.F., Bartoli, A. and Davison, A.J., “KAZE features”. In European Conference on Computer Vision, pp. 214-227, 2012.
  4. Gao, X.-S., Hou, X.-R., Tang, J. and Cheng, H.F., “Complete Solution Classification for the Perspective-Three-Point Problem.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Volume 25, Issue 8, pp. 930–943, August 2003.
  5. M.A. Fischler, R.C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Commun.ACM 24 (6) (1981) 381–395.