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Hello all,I started working in 3D mesh parameterization (mapping a triangle mesh from 3D space to 2D space ). In this study, what i know is that we have 3 criteria to measure the...
12 December 2016 9,658 4 View
Hello everyone, I have two 3D point sets, one small point set A and a large point set B (Normal vectors of two sets are available). I would like to align set A with B under a rigid transformation....
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Dear all, I am looking for datasets which will be used for 3D non-registration. Specifically, for each object, its data consists of 3D scannings (frames) of this object at different location and...
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The method should be aware geometric properties of the mesh (for example: edges, normals, curvature,..) . It means that the method will makes dense sampling or sparse sampling depending on the...
09 September 2013 2,201 7 View
I used kd-tree structure to find a "consistent-closest point" in 3D space. Given a point p in source set S, I want to find a closest point q1 in target set T for p. Then, I check geometric...
08 August 2013 5,057 5 View