Showing 21 - 40 results of 398 for search '"RANSAC"', query time: 0.08s Refine Results
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    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. …”
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    Improving HySpex Sensor Co-registration Accuracy using BRISK and Sensor-model based RANSAC by P. Schwind, M. Schneider, R. Müller

    Published 2014-11-01
    “…After matching these features, the match coordinates in the VNIR scene are orthorectified and the resulting ground control points in the SWIR scene are filtered using a sensor-model based RANSAC. This implementation of RANSAC estimates the boresight angles of a scene by iteratively fitting the sensor-model to a subset of the matches. …”
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    Attitude Estimation Method for Target Ships Based on LiDAR Point Clouds via An Improved RANSAC by Shengzhe Wei, Yuminghao Xiao, Xinde Yang, Hongdong Wang

    Published 2023-09-01
    “…To extract the board-side plane accurately on a moving ship with sparse point clouds, an improved Random Sample Consensus (RANSAC) algorithm with a pre-processing normal vector-based filter was designed to exclude noise points. …”
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    NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNER by A. Singh, A. Singh, S. K. P. Kushwaha, S. Nandy, H. Padalia

    Published 2022-10-01
    “…The tree attribute such as radius of the stem and tree height were estimated using Random Sample Consensus (RANSAC) algorithm and line primitive vector, respectively. …”
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    Building Component Detection on Unstructured 3D Indoor Point Clouds Using RANSAC-Based Region Growing by Sangmin Oh, Dongmin Lee, Minju Kim, Taehoon Kim, Hunhee Cho

    Published 2021-01-01
    “…Thus, this study aims to propose a building component detection algorithm for MLS-based indoor PCD without trajectory using random sample consensus (RANSAC)-based region growth. The proposed algorithm used the RANSAC and region growing to overcome the low accuracy and uniformity of MLS caused by the movement of LiDAR. …”
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