An Improved Feature Extration Algorithm for Elevation-Based 3D Model
Liping Deng · Journal of Sichuan University of Science & Engineering · 2010
With the rapid development of multi-media and network technology,a large number of 3D models have been produced and widely used.This has made the searching for specific 3D models as a vital issue.Content-based 3D model feature extraction is an important research topic.This paper,which researched the existing feature extraction algorithms,proposed an improved feature extraction algorithm for elevation-based 3D model.By extracting the average,mean square error and three-order matrix of gray statistics as the features,the accuracy of the algorithm is improved.Experiments show that the algorithm obtains better precision-recall and reduces the running time.