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Adaptive Methods For Point Cloud And Mesh Processing, Zinat Afrose
Adaptive Methods For Point Cloud And Mesh Processing, Zinat Afrose
Computational Modeling & Simulation Engineering Theses & Dissertations
Point clouds and 3D meshes are widely used in numerous applications ranging from games to virtual reality to autonomous vehicles. This dissertation proposes several approaches for noise removal and calibration of noisy point cloud data and 3D mesh sharpening methods. Order statistic filters have been proven to be very successful in image processing and other domains as well. Different variations of order statistics filters originally proposed for image processing are extended to point cloud filtering in this dissertation. A brand-new adaptive vector median is proposed in this dissertation for removing noise and outliers from noisy point cloud data.
The major …