A 3D Shape Retrieval Framework Supporting Multimodal Queries


This paper presents a unified framework for 3D shape retrieval. The method supports multimodal queries (2D images, sketches, 3D objects) by introducing a novel view-based approach able to handle the different types of multimedia data. More specifically, a set of 2D images (multi-views) are automatically generated from a 3D object, by taking views from uniformly distributed viewpoints. For each image, a set of 2D rotation-invariant shape descriptors is produced. The global shape similarity between two 3D models is achieved by applying a novel matching scheme, which effectively combines the information extracted from the multi-view representation. The experimental results prove that the proposed method demonstrates superior performance over other well-known state-of-the-art approaches.

  • P. Daras, A. Axenopoulos, "A 3D Shape Retrieval Framework Supporting Multimodal Queries", SPRINGER, International Journal of Computer Vision, DOI 10.1007/s11263-009-0277-2, Jul 2009

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    Dr. Petros Daras, Research Director
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