A 3D Shape Retrieval Framework Supporting Multimodal Queries

13 years 3 months ago

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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. Keywords 3D object retrieval · Multi-views · Multimodal queries · Image to 3D object · Sketch to 3D object

Petros Daras, Apostolos Axenopoulos

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