|
|
A Method for Evaluating the Effect and Accuracy of 3D Reconstruction Based on Infrared Image |
CHEN Jichi1, WEI Guohua2, CHAI Juanfang3 |
1. A Brigade of Naval Equipment Department, Beijing 100081, China;
2. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
3. Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
|
|
|
Abstract Since the current 3D reconstruction evaluation indexes are only suitable for the reconstruction of target visible images, they lack attention to the overall accuracy measurement of the model and ignore the local correctness of the model, indicating that they’re not fully applicable to the 3D reconstruction evaluation of infrared images. In this study, a composite index evaluation model was proposed, including indicators such as the key feature integrity of the reconstruction model, the accuracy of camera pose estimation, and the error benchmark distance of 3D reconstruction evaluation. The simulation results show that the proposed reconstruction model evaluation method performs well robustness under different reconstruction qualities and avoids the problem that a single evaluation index cannot characterize the reconstruction accuracy of the infrared reconstruction model effectively. In addition, this proposed model can accurately quantify the reconstruction effect of point cloud and textured models, especially when compared with the existing three-dimensional reconstruction evaluation method, it is much more comprehensive.
|
Received: 17 February 2023
Published: 09 January 2024
|
|
|
|
|
[1] |
ZHANG Xiaoyu, DU Xiangrun, ZHANG Jialiang, TAN Panlong, YANG Shibo. Research on Infrared Image Object Detection Method Based on Deformable DETR[J]. Air & Space Defense, 2024, 7(1): 16-23. |
[2] |
CAI Yunze, ZHANG Yanjun. Infrared Dim and Small Target Detection Based on Dual-Channel Feature-Enhancement Integrated Attention Network[J]. Air & Space Defense, 2021, 4(4): 14-22. |
[3] |
SHI Yuanbin, ZHANG Xiaojie, WANG Xing. Infrared Dual-Band Target Detection Method Based on Gradient and Anisotropic Diffusion[J]. Air & Space Defense, 2021, 4(4): 95-100. |
[4] |
HU Jinhao, WANG Minghao, XIA Tianyang, WANG Yuexing, DU Haijing, XU Chuangang. Methods for Infrared-Visible Light Image Fusion Based on HSV Color Space[J]. Air & Space Defense, 2021, 4(4): 87-94. |
[5] |
ZHENG Yikai, FAN Yunfeng, ZHANG Sipei, ZHU Ying, WU Kai. Effectiveness Analysis of Surface-to-Air Missile System Based on Improved Grey Evaluation Model[J]. Air & Space Defense, 2021, 4(2): 20-. |
[6] |
YU Xiaolong, XIAO Yongsheng, NIE Jianghua, MAO Cong. Infrared Image Line Detection Based on Improved Hough Transform[J]. Air & Space Defense, 2021, 4(1): 47-51. |
[7] |
CHEN Jichi, WEI Guohua, GUO Conglong, ZHANG Lihe. Preliminary Study on a Deep Learning 3D Reconstruction Simulation Method Based on Infrared Image Sequence[J]. Air & Space Defense, 2020, 3(4): 21-29. |
[8] |
JIANG Yilin* (蒋伊琳), WANG Haiyan (王海艳), SHAO Ran (邵然), ZHANG Jianfeng (张建峰). Infrared Image Reconstruction Based on Archimedes Spiral Measurement Matrix[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(2): 204-208. |
[9] |
CHEN Yu,TENG Kenan,TANG Jinguo,WANG Liying. Optimal Estimation of Fractal Dimension for Two-Dimension Sea Surface Infrared Image[J]. Journal of Shanghai Jiaotong University, 2018, 52(8): 1003-. |
[10] |
DONG Yue-fu (董跃福), HU Guang-hong (胡广洪), ZHANG Luo-lian (张罗莲), HU Yang (胡 杨) DONG Ying-hai (董英海), XU Qing-rong . Accurate 3D Reconstruction of Subject-Specific Knee Finite Element Model to Simulate the
Articular Cartilage Defects[J]. Journal of shanghai Jiaotong University (Science), 2011, 16(5): 620-627. |
[11] |
ZHANG Shouhua,SUN Shudong . Evaluation of HighTech Research Project Based on Internal Fuzzy TOPSIS and AHP [J]. Journal of Shanghai Jiaotong University, 2011, 45(01): 134-0138. |
[12] |
YANG Chao-jun,ZHANG Zhi-peng,LIAO Shi-guang. Research on Composite Index of Liquidity in Security Market[J]. Journal of Shanghai Jiaotong University, 2008, 42(11): 1767-1771. |
|
|
|
|