A salient-point signature for 3d object retrieval
Indriyati Atmosukarto, Linda G. Shapiro · 2008
In this paper we describe a new 3D object signature and evaluate its performance for 3D object retrieval. The signature is based on a learning approach that finds the characteristics of salient points on a 3D object and represents the points in a 2D spatial map based on a longitude-latitude transformation. Experimental results show that the signature is able to achieve good retrieval scores for both pose-normalized and randomly-rotated object queries.