Sequential learning for sketch-based 3D model retrieval

Author(s):  
Hairui Yang ◽  
Yu Tian ◽  
Caifei Yang ◽  
Zhihui Wang ◽  
Lei Wang ◽  
...  
2010 ◽  
Vol 22 (5) ◽  
pp. 741-745 ◽  
Author(s):  
Xin Zhang ◽  
Rong Mo ◽  
Yuan Shi ◽  
Fangyun Zhou

2015 ◽  
Vol 9 (4) ◽  
pp. JAMDSM0049-JAMDSM0049 ◽  
Author(s):  
Haopeng LEI ◽  
Yuhua LI ◽  
Helian CHEN ◽  
Shujin LIN ◽  
Guifeng ZHENG ◽  
...  

2016 ◽  
Vol 31 (5) ◽  
pp. 2637-2644 ◽  
Author(s):  
Bin Cao ◽  
Yang Kang ◽  
Shujin Lin ◽  
Xiaonan Luo ◽  
Songhua Xu ◽  
...  

2012 ◽  
Vol 532-533 ◽  
pp. 1263-1267
Author(s):  
Hui Jia ◽  
Guo Hua Geng ◽  
Jin Xia Yang

This paper presented a new method to construct semantic web of three-dimension model database based on ontology. Firstly we build ontology of three-dimension model database, according the model to extract classes, objects and attributes. Secondly utilize WordNet which is an English ontology to expand original ontology node to semantic extension node, including synonym, hypernym, hyponym and holonym. Experiment result shows that this method not only effectively expands the semantic vocabularies of a 3D model database, but also keeps good semantic relevance of the expanded vocabularies to the original ones, so as to achieve semantic based 3D model retrieval effectively.


Author(s):  
Yu-Ting Su ◽  
Wen-Hui Li ◽  
Wei-Zhi Nie ◽  
An-An Liu

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