Mesh animation progressive transmission-orientated frame clustering method

The invention discloses a mesh animation progressive transmission-orientated frame clustering method which comprises the following steps: matching all frame models; finding a transformation relation among coordinate matrixes of frame mesh models by an ICP algorithm to obtain a rotating matrix R and a translation matrix T between one frame and another frame, and clustering all frame mesh coordinate data by a class kmeans clustering algorithm; finally obtaining clustering results with continuous frame indexes of all the types, starting to carry out data processing type by type, respectively completing code transmission, and independently transmitting representative frames of all the types. According to the method, a mesh residual value replaces a conventional Euclidean distance during clustering, and a key frame time difference value is added, so that the clustering results are accurate, and the frame indexes included in all the types are continuous; by final type-by-type processing and code transmission, progressive transmission of mesh animations can be realized.