3D models play an important role in a wide range of applications from engineering to training, visualization, and entertainment. The formal representation of, and reasoning over, concepts and properties associated with 3D models can contribute to next-generation 3D scene understanding, classification, indexing, and retrieval via 3D characteristics as opposed to keywords of traditional retrieval methods. This paper introduces a novel 3D model indexing method with X3D-alignment, with an emphasis on the representation, annotation, and efficient content-based retrieval of 3D models and their regions of interest from computer animations.
Sikos, L. F. 3D Model Indexing in Videos for Content-Based Retrieval via X3D-Based Semantic Enrichment and Automated Reasoning. ACM, New York, 2017