A similarity retrieval of 3D polygonal models using rotation invariant shape descriptors

In virtual reality and multimedia applications, 3D polygonal models are increasing in number. Similarity retrieval is an important task in 3D polygonal model databases. We present rotation invariant shape descriptors for similarity retrieval. Our feature descriptor grouping technique overcomes the efficiency problem of query processing in high-dimensional shape descriptor spaces. Although high-dimensional feature descriptors are reduced by our techniques, they maintain high recall and precision