Fengxiang Jin
Biographic Data
| ID | 9965982 |
|---|---|
| NAME | Fengxiang Jin |
| GIVEN NAMES | Fengxiang |
| FAMILY NAME | Jin |
| SIGNATURE | JIN F |
| AFFILIATIONS | Shandong Jianzhu University |
| ORCID | 0000-0003-3444-5326 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Automatic Production of Deep Learning Benchmark Dataset for Affine-Invariant Feature Matching
To promote the development of deep learning for feature matching, image registration, and three-dimensional reconstruction, we propose a method of constructing a deep learning benchmark dataset for affine-invariant feature matching. Existing images often have large viewpoint differences and areas with weak texture, which may cause difficulties for image matching, with respect to few matches, uneven distribution, and single matching texture. To so…
Public Responses to Air Pollution in Shandong Province Using the Online Complaint Data
As air users, the public is also participants in air pollution control and important evaluators of environmental protection. Therefore, understanding the public perception and response to air pollution is an essential part of improving air governance. This study proposed an analytical framework for public response to air pollution based on online complaint data and sentiment analysis. In the proposed framework, the emotional dictionary of air pol…
No prominent works on this page.
Public Responses to Air Pollution in Shandong Province Using the Online Complaint Data
As air users, the public is also participants in air pollution control and important evaluators of environmental protection. Therefore, understanding the public perception and response to air pollution is an essential part of improving air governance. This study proposed an analytical framework for public response to air pollution based on online complaint data and sentiment analysis. In the proposed framework, the emotional dictionary of air pol…
Automatic Production of Deep Learning Benchmark Dataset for Affine-Invariant Feature Matching
To promote the development of deep learning for feature matching, image registration, and three-dimensional reconstruction, we propose a method of constructing a deep learning benchmark dataset for affine-invariant feature matching. Existing images often have large viewpoint differences and areas with weak texture, which may cause difficulties for image matching, with respect to few matches, uneven distribution, and single matching texture. To so…
Advanced Image and Video Retrieval Techniques (1 work) · Advanced Neural Network Applications (1 work) · Affine combination (1 work) · Affine shape adaptation (1 work) · Affine transformation (1 work) · Air pollution (1 work) · Air Quality and Health Impacts (1 work) · Air quality index (1 work) · Air Quality Monitoring and Forecasting (1 work) · Artificial Intelligence (1 work)