Chinese Journal of Lasers, Volume. 49, Issue 23, 2310003(2022)
Application of MVSNet in 3D Reconstruction of Space Objects
Figures & Tables(11)
Fig. 6. Reconstruction results for non-Lambertian reflector region of Clementine satellite obtained by different methods. (a)Ground truth；(b)VisualSFM；(c)COLMAP；(d)SurfaceNet；(e) our method
Fig. 7. Reconstruction results for low-textured region of Clementine satellite obtained by different methods. (a)Ground truth；(b)VisualSFM；(c)COLMAP；(d)SurfaceNet；(e) our method
Fig. 8. Reconstruction results for repetitive texture region of Clementine satellite obtained by different methods. (a)Ground truth；(b)VisualSFM；(c)COLMAP；(d)SurfaceNet；(e) our method
Table 1. Performance comparison of different algorithms on DTU dataset
View tableTable 1. Performance comparison of different algorithms on DTU dataset
Method Mean accuracy error /mm Mean completeness error /mm Overall error /mm Our method 0.449 0.379 0.414 SurfaceNet 0.510 0.748 0.629 COLMAP 0.400 0.644 0.522 VisualSFM 0.613 0.835 0.724
Table 2. Running time
View tableTable 2. Running time
Method Our method SurfaceNet COLMAP VisualSFM Running time /s 230 36802 2700 223
Table 3. Performance comparison of algorithms under different numbers of matching views
View tableTable 3. Performance comparison of algorithms under different numbers of matching views
Number of matching views Mean accuracy error /mm Mean completeness error /mm Overall error /mm 2 0.477 0.431 0.454 3 0.449 0.379 0.414 4 0.432 0.354 0.393 5 0.429 0.345 0.387
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Siqi Wang, Jiaqiang Zhang, Liyuan Li, Xiaoyan Li, Fansheng Chen. Application of MVSNet in 3D Reconstruction of Space Objects[J]. Chinese Journal of Lasers, 2022, 49(23): 2310003
Paper Information
Category: remote sensing and sensor
Received: Mar. 14, 2022
Accepted: Apr. 7, 2022
Published Online: Oct. 31, 2022
The Author Email: Li Liyuan (liliyuan@mail.sitp.ac.cn)
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