Method of employing improved k-means to perform spatial domain segmentation on three-dimensional model
An airspace segmentation and three-dimensional model technology, which is applied in the multimedia field and can solve the problems of different initial value results, large dependence of initial value selection, and local minimum solution of the algorithm.
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[0020] The present invention will be further described below.
[0021] The inventive method is specifically:
[0022] Step 1: Suppose the number of frames is F, and the number of vertices contained in each frame is N, F>0, N>0. Connect the coordinates of the vertices whose curvature is to be calculated in all frames into a curve, and the curvature in a certain frame is the curvature of the corresponding point on the curve. Save the calculated curvature to the cell matrix k, where k=cell(1,N), k{i} is a row vector, and length(k{i})=F-2, 1≤i≤N. Find the curvature expectation of each vertex in all frames and store it in the matrix E and draw the curvature expectation graph, where E is a row vector, and length(E)=N:
[0023] E ( i ) = Σ j = 1 : F ...
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