Hi everyone,<\/p>\n
I\u2019m looking for a suitable 3D point cloud dataset<\/strong> \u2014 or a CAD\/mesh dataset from which I can sample point clouds<\/strong> \u2014 for a small research\/report project.<\/p>\n The goal is to compare Topological Data Analysis (TDA)<\/strong> as a preprocessing \/ feature extraction method against more standard 3D point cloud preprocessing methods, under different perturbations such as:<\/p>\n The comparison would be based on the classification accuracy of a downstream model<\/strong> after preprocessing.<\/p>\n I do not necessarily need many classes. Even a binary classification dataset<\/strong> would be enough. What matters most is that the classes should differ in their topological structure<\/strong>, ideally in the number of holes \/ loops \/ cavities, so that TDA has a meaningful signal to detect.<\/p>\n For example, something like:<\/p>\n Ideally, each class should contain many samples (600+), or the dataset should contain enough CAD\/mesh models so that I can sample many point clouds from them.<\/p>\n Does anyone know of a dataset that fits this description? I would also appreciate suggestions for CAD repositories, synthetic dataset generators, or benchmark datasets where such class pairs could be extracted.<\/p>\n Thanks!<\/p>\n<\/div>\n submitted by \/u\/generalbrain_damage <\/a> \n
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