Feature Extraction Algorithm for 3D Model Based on Elevation
Ting Sun · Jisuanji gongcheng · 2010
This paper proposes a feature extraction algorithm based on elevation.A 3D model is represented with six gray-level images which describes the altitude information of 2D projections from six different views including front,left,right,rear,top and bottom.Each gray-level image,called an elevation,is decomposed into a set of concentric circles.The sum of the altitude information within each concentric circle is calculated. The elevation descriptor is obtained from the difference of the altitude sums between two successive concentric circles.Experimental results demonstrate the retrieval effectiveness of the method is considerable with LFD method,and it calculates faster.