Consistency Segmentation Algorithm of 3D Model Set Based on SDF and K-Means
JIA Hui
ZHANG Jiangang
Abstract：In order to improve the accuracy of 3D model set consistency segmentation algorithm,an algorithm of 3D model set consistency segmentation based on SDF and K-Means is proposed. The SDF characteristics of each model in the model set is extract?ed. The significant feature points of the model are calculated which represent the segmentation parts of the model as well as serve as the initial center point of K-Means clustering. K-Means algorithm is adopted to cluster and segment each 3D model on the model set. Experimental results show that this algorithm can perform meaningful consistent segmentation on the model set,and the average segmentation accuracy is better.
Keywords：3D modelconsistency segmentationSDFK-Means clustering
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 2141-2144 )