Multi-View 3D Object Retrieval With Deep Embedding Network
In multi-view 3D object retrieval, each object is characterized by a group of 2D images captured from different views. Rather than using hand-crafted features, in this paper, we take advantage of the strong discriminative power of convolutional neural network to learn an effective 3D object represen...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 12 vom: 18. Dez., Seite 5526-5537
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| 1. Verfasser: |
Guo, Haiyun
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Jinqiao,
Gao, Yue,
Li, Jianqiang,
Lu, Hanqing |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2016
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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