This paper presents a feature recognition algorithm for discrete cloud points based on dimension information and a detailed wavelet decomposition method for 2D and 3D discrete cloud points.128 discrete points are adopted to analyze the algorithm,and it is found the result of this example meet the requirement for discrete cloud wavelet decomposition.The discrete cloud points are decomposed and different features are extracted according to its dimension information,and these decomposed data can be further processed to meet different visualization display requirement.
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HAO Yongtao, XIAO Wensheng, HU Yajun. Method of Data Processing for Discrete Cloud Based on Wavelet Transform[J].同济大学学报(自然科学版),2009,37(5):