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Showing 1 to 2 of 2 for “"moment descriptors"”.

  1. Three-dimensional shape characterization for particle aggregates using multiple projective representations

    <p>Shape descriptors are used extensively in computer vision/automated recognition applications such as fingerprint matching, robotics, character recognition, etc. The conventional two-dimensional shape descriptors used in these applications do not readily lend themselves to compact representations …

    rowan Repository record for Three-dimensional shape characterization for particle aggregates using multiple projective representations (opens in a new tab)

  2. Modal Analysis of Axisymmetric Structures using Zernike Polynomials and Machine Learning

    … process. Leveraging Zernike Annular Moment Descriptors (ZAMD) as feature maps, supervised learning models, such as decision trees, random forests, and XGBoost, achieve a high classification accuracy, thus eliminating the need for manual intervention. Furthermore, convolutional neural …

    vt Repository record for Modal Analysis of Axisymmetric Structures using Zernike Polynomials and Machine Learning (opens in a new tab)