Chinese Journal of Lasers, Volume. 49, Issue 23, 2310003(2022)
Application of MVSNet in 3D Reconstruction of Space Objects
[1] Mu Y Z, Hao X L, Wei C L et al. Review and prospect of intelligent perception for non-cooperative targets[J]. Chinese Space Science and Technology, 41, 1-16(2021).
[2] Yang H F[D]. Research on multi-sources data 3D reconstruction technology for space targets, 1-2(2018).
[3] Yang F, Liu B, Chu L et al. Binocular measurement method using grid structured light[J]. Chinese Journal of Lasers, 48, 2304004(2021).
[4] Wu Z C, Wei X X, Song L M et al. Solution for vision occlusion based on binocular line-structured light[J]. Optoelectronics Letters, 17, 432-437(2021).
[5] Yang F, Ding X J, Cao J. 3D reconstruction of free-form surface based on color structured light[J]. Acta Optica Sinica, 41, 0212001(2021).
[6] Jing L Q, Zheng G, Sun B et al. Measurement of distance to moving target using frequency-modulated continuous-wave interference technique[J]. Chinese Journal of Lasers, 46, 1204001(2019).
[7] Wu G H, Zhou S Y, Yang Y T et al. Dual-comb ranging and its applications[J]. Chinese Journal of Lasers, 48, 1504002(2021).
[8] Vázquez-Arellano M, Reiser D, Paraforos D S et al. 3-D reconstruction of maize plants using a time-of-flight camera[J]. Computers and Electronics in Agriculture, 145, 235-247(2018).
[9] Micheletto M, Zubiaga L, Santos R et al. Development and validation of a LiDAR scanner for 3D evaluation of soil vegetal coverage[J]. Electronics, 9, 109(2020).
[10] Moulon P, Monasse P, Marlet R. Adaptive structure from motion with a Contrario model estimation[M]. Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ACCV 2012. Lecture notes in computer science, 7727, 257-270(2013).
[11] Bao S Y, Bagra M, Chao Y W et al. Semantic structure from motion with points, regions, and objects[C], 2703-2710(2012).
[12] Wu C C. Towards linear-time incremental structure from motion[C], 127-134(2013).
[13] Schönberger J L, Frahm J M. Structure-from-motion revisited[C], 4104-4113(2016).
[14] Ye C K, Wan W G. Feature pyramid network for multi-view depth estimation[J]. Electronic Measurement Technology, 43, 91-95(2020).
[16] Wang X, Wang C, Liu B et al. Multi-view stereo in the deep learning era: a comprehensive review[J]. Displays, 70, 102102(2021).
[18] Eigen D, Fergus R. Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture[C], 2650-2658(2015).
[19] Choy C B, Xu D F, Gwak J et al. 3D-R2N2: a unified approach for single and multi-view 3D object reconstruction[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9912, 628-644(2016).
[20] Ji M Q, Gall J, Zheng H T et al. SurfaceNet: an end-to-end 3D neural network for multiview stereopsis[C], 2326-2334(2017).
[22] Yao Y, Luo Z X, Li S W et al. MVSNet: depth inference for unstructured multi-view stereo[M]. Computer vision-ECCV 2018. Lecture notes in computer science, 11212, 785-801(2018).
[23] Li R[D]. Research on the key technologies of space debris 3D reconstruction(2019).
[24] Collins R T. A space-sweep approach to true multi-image matching[C], 358-363(1996).
[26] Kendall A, Martirosyan H, Dasgupta S et al. End-to-end learning of geometry and context for deep stereo regression[C], 66-75(2017).
[27] Xu N, Price B, Cohen S et al. Deep image matting[C], 311-320(2017).
[28] Jensen R, Dahl A, Vogiatzis G et al. Large scale multi-view stereopsis evaluation[C], 406-413(2014).
Get Citation
Copy Citation Text
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
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)