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A 3D Shape Retrieval Framework Supporting Multimodal Queries
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DOI：10.1007/s11263-009-0277-2.png)
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摘要
En 中文
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.
Keyword:
3D object retrieval
Multi-views
Multimodal queries
Image to 3D object
Sketch to 3D object
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9.3
论文数:
3.9K
被引数:
2.8W
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