A semantic tree-based approach for sketch-based 3D model retrieval

摘要

Sketch-based 3D model retrieval is to retrieve 3D models given a user's hand-drawn sketch. Due to the big semantic gap between rough sketch representation and accurate 3D model coordinates, sketch-based 3D model retrieval (SBR) is one of the most challenging research topics in the field of 3D model retrieval. To bridge the semantic gap, a novel semantic tree-based SBR algorithm is proposed in this paper. Given a 2D sketch query and a collection of 3D models, a 3D semantic tree is built up first based on the ontology structure of WordNet. Every leaf node in the tree contains a set of 3D models assigned to this class according to their semantic classification/label information. Then, sketch components of the 2D query sketch are identified by sketch segmentation and annotation. Finally, by measuring the semantic relatedness between the sketch components' annotations and tree nodes in the 3D semantic tree, the similarities between the 2D sketch and 3D models are computed to find out the most relevant 3D models. Experimental results demonstrate the effectiveness and promising potentials of our approach on sketch-based 3D model retrieval.