Aggregating Sparse Binarized Local Features by Summing for Efficient 3D Model Retrieval

2016 IEEE Second International Conference on Multimedia Big Data (BigMM) ◽

10.1109/bigmm.2016.32 ◽

2016 ◽

Author(s):

Takahiko Furuya ◽

Ryutarou Ohbuchi

Keyword(s):

3D Model ◽

Local Features ◽

3D Model Retrieval ◽

Model Retrieval

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Diffusion-on-Manifold Aggregation of Local Features for Shape-based 3D Model Retrieval

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR '15 ◽

10.1145/2671188.2749380 ◽

2015 ◽

Author(s):

Takahiko Furuya ◽

Ryutarou Ohbuchi

Keyword(s):

3D Model ◽

Local Features ◽

3D Model Retrieval ◽

Model Retrieval ◽

Diffusion On Manifold

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Non-rigid 3D model retrieval using multi-scale local features

Proceedings of the 19th ACM international conference on Multimedia - MM '11 ◽

10.1145/2072298.2072031 ◽

2011 ◽

Author(s):

Pengjie Li ◽

Huadong Ma ◽

Anlong Ming

Keyword(s):

3D Model ◽

Local Features ◽

3D Model Retrieval ◽

Multi Scale ◽

Model Retrieval

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A new sketch-based 3D model retrieval approach by using global and local features

Graphical Models ◽

10.1016/j.gmod.2013.11.002 ◽

2014 ◽

Vol 76 (3) ◽

pp. 128-139 ◽

Author(s):

Feng Wang ◽

Lanfen Lin ◽

Min Tang

Keyword(s):

3D Model ◽

Local Features ◽

3D Model Retrieval ◽

Model Retrieval ◽

Global And Local

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The 3D Model Retrieval Based on Local Features

2014 Seventh International Symposium on Computational Intelligence and Design ◽

10.1109/iscid.2014.61 ◽

2014 ◽

Author(s):

Lei Huo ◽

Xueqiang Lv ◽

Kai Zhang ◽

Zhuo Li

Keyword(s):

3D Model ◽

Local Features ◽

3D Model Retrieval ◽

Model Retrieval

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Local features and manifold ranking coupled method for sketch-based 3D model retrieval

Frontiers of Computer Science ◽

10.1007/s11704-017-6595-6 ◽

2018 ◽

Vol 12 (5) ◽

pp. 1000-1012

Author(s):

Xiaohui Tan ◽

Yachun Fan ◽

Ruiliang Guo

Keyword(s):

3D Model ◽

Local Features ◽

3D Model Retrieval ◽

Manifold Ranking ◽

Coupled Method ◽

Model Retrieval

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Accurate Aggregation of Local Features by using K-sparse Autoencoder for 3D Model Retrieval

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval - ICMR '16 ◽

10.1145/2911996.2912054 ◽

2016 ◽

Author(s):

Takahiko Furuya ◽

Ryutarou Ohbuchi

Keyword(s):

3D Model ◽

Local Features ◽

3D Model Retrieval ◽

Model Retrieval ◽

Sparse Autoencoder

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An Improved Shape Descriptor for 3D Model Retrieval

Journal of Computer-Aided Design & Computer Graphics ◽

10.3724/sp.j.1089.2010.10804 ◽

2010 ◽

Vol 22 (5) ◽

pp. 741-745 ◽

Author(s):

Xin Zhang ◽

Rong Mo ◽

Yuan Shi ◽

Fangyun Zhou

Keyword(s):

3D Model ◽

Shape Descriptor ◽

3D Model Retrieval ◽

Model Retrieval

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Exploring Deep Learning for View-Based 3D Model Retrieval

ACM Transactions on Multimedia Computing Communications and Applications ◽

10.1145/3377876 ◽

2020 ◽

Vol 16 (1) ◽

pp. 1-21 ◽

Author(s):

Zan Gao ◽

Yinming Li ◽

Shaohua Wan

Keyword(s):

Deep Learning ◽

3D Model ◽

3D Model Retrieval ◽

Model Retrieval

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Ranking on semantic manifold for shape-based 3d model retrieval

Proceeding of the 1st ACM international conference on Multimedia information retrieval - MIR '08 ◽

10.1145/1460096.1460163 ◽

2008 ◽

Author(s):

Ryutarou Ohbuchi ◽

Toshiya Shimizu

Keyword(s):

3D Model ◽

3D Model Retrieval ◽

Model Retrieval

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Asymmetric Supervised Deep Autoencoder for Depth Image based 3D Model Retrieval

2019 IEEE Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip47243.2019.8965682 ◽

2019 ◽

Author(s):

Ayesha Siddiqua ◽

Guoliang Fan

Keyword(s):

3D Model ◽

3D Model Retrieval ◽

Depth Image ◽

Model Retrieval

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