8 June 2012 3D model retrieval method based on mesh segmentation
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Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83343E (2012) https://doi.org/10.1117/12.961239
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
In the process of feature description and extraction, current 3D model retrieval algorithms focus on the global features of 3D models but ignore the combination of global and local features of the model. For this reason, they show less effective performance to the models with similar global shape and different local shape. This paper proposes a novel algorithm for 3D model retrieval based on mesh segmentation. The key idea is to exact the structure feature and the local shape feature of 3D models, and then to compares the similarities of the two characteristics and the total similarity between the models. A system that realizes this approach was built and tested on a database of 200 objects and achieves expected results. The results show that the proposed algorithm improves the precision and the recall rate effectively.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuanchao Gan, Yan Tang, and Qingchen Zhang "3D model retrieval method based on mesh segmentation", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83343E (8 June 2012); doi: 10.1117/12.961239; https://doi.org/10.1117/12.961239
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