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Substance 3d modeler beta5/9/2023 Such high-dimensional and general isodimensional data are found in nearly all disciplines, from computational biology to image analysis and financial data. Another important area where point clouds are frequently used is the representation of high-dimensional manifolds. Given the growing popularity and very wide applications of this data source, it is essential to work directly with this representation without having to go through an intermediate step that can add computational complexity and fitting errors. ![]() These scanners provide generally noisy raw data in the form of disorganized point clouds representing surface samples. One of the sources for obtaining point clouds is 3D shape acquisition devices such as laser range scanners, which also have applications in many disciplines. ![]() ![]() Point clouds are one of the most direct representations of geometric datasets.
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