3D Model Retrieval Based on Vision Feature Fusion
Authors: Zhang, M., Ma, Y., Wang, X., Wei, W. and Xiao, Z.
Journal: Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018
Pages: 905-909
ISBN: 9781538660041
DOI: 10.1109/CCIS.2018.8691162
Abstract:By applying multi-view features of a 3D model as the whole feature descriptors to match the 3D model feature, this paper presents a modified 3D model retrieval algorithm which is based on the fusion of contour features and texture features of the model. After two-dimensional depth images of the 3D model are obtained under the different views of a spherical bounding box, the contour feature and the texture features of the model images are fused for realizing the constitute of the 3D model. The experiment results show that the proposed method gains great improvement in retrieval speed and effective rate in comparison with other view-based 3D model retrieval methods.
https://eprints.bournemouth.ac.uk/31143/
Source: Scopus
3D Model Retrieval Based on Vision Feature Fusion
Authors: Zhang, M., Ma, Y., Wang, X., Wei, W. and Xiao, Z.
Conference: 5th IEEE International Conference on Cloud Computing and Intelligence Systems
Dates: 23-25 November 2018
Abstract:By applying multi-view features of a 3D model as the whole feature descriptors to match the 3D model feature, this paper presents a modified 3D model retrieval algorithm which is based on the fusion of contour features and texture features of the model. After two-dimensional depth images of the 3D model are obtained under the different views of a spherical bounding box, the contour feature and the texture features of the model images are fused for realizing the constitute of the 3D model. The experiment results shown that the proposed method gains great improvement in retrieval speed and effective rate in comparison with other view-based 3D model retrieval methods
https://eprints.bournemouth.ac.uk/31143/
Source: Manual
3D Model Retrieval Based on Vision Feature Fusion
Authors: Zhang, M., Ma, Y., Wang, X., Wei, W. and Xiao, Z.
Conference: 5th IEEE International Conference on Cloud Computing and Intelligence Systems
Abstract:By applying multi-view features of a 3D model as the whole feature descriptors to match the 3D model feature, this paper presents a modified 3D model retrieval algorithm which is based on the fusion of contour features and texture features of the model. After two-dimensional depth images of the 3D model are obtained under the different views of a spherical bounding box, the contour feature and the texture features of the model images are fused for realizing the constitute of the 3D model. The experiment results shown that the proposed method gains great improvement in retrieval speed and effective rate in comparison with other view-based 3D model retrieval methods.
https://eprints.bournemouth.ac.uk/31143/
http://ccis2018.csp.escience.cn/dct/page/65541
Source: BURO EPrints