Abstract
We propose a new shape descriptor based on local and global features for 3D shape retrieval. Local features include "slope density" and "chain code", while global features include "distance histogram between a randomly chosen point and the shortest distance polygon from the point". We demonstrate our proposed shape descriptor and compare it with several previous methods by using Engineering Shape Benchmark (ESB). From our experiments, our method outperforms previous methods in terms of Precision@1 (P@1).
