Content-based search for 3D-objects

Abstract

The topic of this paper is content-based 3D-object retrieval. The approach is based on feature vectors, which capture 3D-shape of a model represented as a triangle mesh. The feature vectors are invariant with respect to translation, rotation, scaling, and reflection and robust with respect to level-of-detail. Before the feature extraction, each 3D-object is transformed (normalized) into a canonical position and orientation. The search is performed in the feature vector space in which the feature vector of a query model is used as a key. Original normalization steps and feature vectors are presented in this communication.