A depth information acquisition method through 3D polarization imaging technology

Author(s):  
Xuan Li ◽  
Fei Liu ◽  
Fangyi Chen ◽  
Yudong Cai ◽  
Xiaopeng Shao
2019 ◽  
Vol 433 ◽  
pp. 74-80 ◽  
Author(s):  
Meilin Xie ◽  
Caiwen Ma ◽  
Kai Liu ◽  
Peng Liu ◽  
Wei Hao ◽  
...  

2021 ◽  
Vol 58 (6) ◽  
pp. 0600001
Author(s):  
刘飞 Liu Fei ◽  
孙少杰 Sun Shaojie ◽  
韩平丽 Han Pingli ◽  
杨奎 Yang Kui ◽  
邵晓鹏 Shao Xiaopeng

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 416
Author(s):  
Hui Wang ◽  
Jie Song

Aiming at the problem of insufficient integration and sharing of forestry information resources under the current communication network and the lack of the concept set of forestry information attributes, which leads to poor information retrieval performance, a fast retrieval method of forestry information features based on symmetry function is studied in depth, and the method is implemented by PDA (Personal Digital Assistant)-BA (Buliding Automation). Using the SED (Stream Editor) forestry information acquisition method under a communication network to collect forestry information, a forestry signal noise cancellation method based on symmetric function method is obtained. In order to improve the accuracy of forestry information acquisition, denoising of the signal in the information was carried out. Constructing forestry information data ontology, integrating forestry resources, establishing a conceptual set of forestry information attributes, distinguishing forestry information attributes, establishing a fast retrieval model of forestry information features based on the synonym library, and completing the fast retrieval of forestry information features. The experimental results show that the recall and precision of this method are 99.25% and 99.24%, respectively, and the retrieval performance is superior, which has a certain application value.


Author(s):  
Kui Yang ◽  
Pingli Han ◽  
Wenjian Chen ◽  
Gang Li ◽  
Fei Liu ◽  
...  

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