Showing 1 - 20 results of 362 for search '"RANSAC"', query time: 0.08s Refine Results
  1. 1
  2. 2

    Parallel RANSAC for Point Cloud Registration by Koguciuk Daniel

    Published 2017-09-01
    “…In this paper, a project and implementation of the parallel RANSAC algorithm in CUDA architecture for point cloud registration are presented. …”
    Get full text
    Article
  3. 3
  4. 4

    Pose detection of parallel robot based on improved RANSAC algorithm by Guo-Qin Gao, Qian Zhang, Shu Zhang

    Published 2019-09-01
    “…Second, for the mismatching from prematching, an improved RANSAC algorithm is proposed to refine the prematching results. …”
    Get full text
    Article
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14

    UNMANNED AERIAL VEHICLE IMAGE MATCHING BASED ON IMPROVED RANSAC ALGORITHM AND SURF ALGORITHM by X. G. Li, C. Ren, C. Ren, T. X. Zhang, Z. L. Zhu, Z. G. Zhang

    Published 2020-02-01
    “…A UAV image matching method based on RANSAC (Random Sample Consensus) algorithm and SURF (speeded up robust features) algorithm is proposed. …”
    Get full text
    Article
  15. 15
  16. 16

    Multisource forest point cloud registration with semantic-guided keypoints and robust RANSAC mechanisms by Wenxia Dai, Hongyang Kan, Renchun Tan, Bisheng Yang, Qingfeng Guan, Ningning Zhu, Wen Xiao, Zhen Dong

    Published 2022-12-01
    “…Finally, the initial correspondence set is trimmed and optimized through a robust RANSAC mechanism, consisting of a geometric compatibility filter to guide and trim the hypothesis generation process and a modified hypothesis evaluation step to further optimize the transformation. …”
    Get full text
    Article
  17. 17
  18. 18
  19. 19

    Target Localization and Grasping of Parallel Robots with Multi-Vision Based on Improved RANSAC Algorithm by Ruizhen Gao, Yang Li, Zhiqiang Liu, Shuai Zhang

    Published 2023-10-01
    “…Firstly, the improved RANSAC algorithm, based on the SURF algorithm, was created based on the SURF algorithm; next, the parallax gradient method was applied to iterate the matched point pairs several times to further optimize the data; then, the 3D reconstruction was completed using the improved algorithm via the program technique; finally, the obtained data were input into the robot arm, and the camera’s internal and external parameters were obtained using the calibration method so that the robot could accurately locate and grasp objects. …”
    Get full text
    Article
  20. 20