research-article

3D Reconstruction of Spatial Non Cooperative Target Based on Improved Traditional Algorithm

Authors:

Zhisheng Chen,

Cheng Zhang,

Di Su,

Shaobo WangAuthors Info & Claims

ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence

Article No.: 32, Pages 1 - 6

https://doi.org/10.1145/3508546.3508578

Published: 25 February 2022 Publication History

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Abstract

A new 3D reconstruction strategy is proposed. The strategy obtains the camera internal reference matrix with known camera focal length and field of view angle; Improves the SURF algorithm to add the color information of feature points for feature point extraction and matching; Then takes the imaging time order of the image as a priori information, and solves the 3D sparse point cloud structure of camera position and non-cooperative target by SFM (structure from motion); Finally, CMVS (clustering multi-view stereo) is used to cluster the images., and PMVS (patch-based multi-view stereo) is used to generate the dense 3D point cloud structure by matching, expanding and filtering. The experimental results show that the improved 3D reconstruction strategy is effective to avoid the reconstruction errors caused by spatially non-cooperative targets due to no background texture, structural symmetry, and texture duplication.

References

[1]

Zhang Y K, Xiao Y, Hu S H . Method of Scattering Centers Association and 3D Reconstruction for Non-cooperative Radar Target[J]. Journal of Electronics & Information Technology, 2011, 33(9):2076-2082.

Crossref

Google Scholar

[2]

Izadi S, Newcombe R A, Kim D, KinectFusion: Real-time dynamic 3D surface reconstruction and interaction[C]// Acm Siggraph. ACM, 2011.

Google Scholar

[3]

Tomasi C, Kanade T . Shape and motion from image streams under orthography: a factorization method[J]. International Journal of Computer Vision, 1992, 9(2):137-154.

Digital Library

Google Scholar

[4]

Fu D, Researches on Three-Dimensional Structure Reconstruction and Pose Measurements Based on Line Feature for Space Targets[D]. Hunan: National University of Defense Technology, 2008 (in Chinese)

Google Scholar

[5]

Tang Y H, Researches on 3D Reconstruction Technologies for Non-cooperative Space Targets Using Image Sequences[D]. Hunan: National University of Defense Technology, 2012 (in Chinese).

Google Scholar

[6]

Longuet-Higgins, H. C . A computer algorithm for reconstructing a scene from two projections[J]. Nature, 1981, 293(5828):133-135.

Crossref

Google Scholar

[7]

Furukawa Y, Ponce J . Accurate, Dense, and Robust Multiview Stereopsis[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2010, 32(8):p.1362-1376.

Digital Library

Google Scholar

[8]

He Y, Yue J . Research and implementation based on multi-view dense matching by applying CMVS/PMVS[J]. Journal of Geomatics, 2013, 38(3):20-23.

Google Scholar

[9]

Hiriart-Urruty J J, Strodiot J J, Nguyen V H . Generalized Hessian matrix and second-order optimality conditions for problems with C 1,1 data[J]. Applied Mathematics and Optimization, 1984, 11(1):169-180.

Crossref

Google Scholar

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Xiang AFan L(2023)Robust Spacecraft Image Interest Point Detection and Description with Transformer Under Variable Illumination Conditions2023 China Automation Congress (CAC)10.1109/CAC59555.2023.10450788(1235-1240)Online publication date: 17-Nov-2023
https://doi.org/10.1109/CAC59555.2023.10450788
Li QZhu ZLiang J(2023)A satellite component contour extraction method for lightweight space mobile platformsAircraft Engineering and Aerospace Technology10.1108/AEAT-11-2022-033195:8(1217-1226)Online publication date: 6-Jun-2023
https://doi.org/10.1108/AEAT-11-2022-0331

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ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence

December 2021

699 pages

ISBN:9781450385053

DOI:10.1145/3508546

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 25 February 2022

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ACAI'21: 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence

December 22 - 24, 2021

Sanya, China

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Xiang AFan L(2023)Robust Spacecraft Image Interest Point Detection and Description with Transformer Under Variable Illumination Conditions2023 China Automation Congress (CAC)10.1109/CAC59555.2023.10450788(1235-1240)Online publication date: 17-Nov-2023
https://doi.org/10.1109/CAC59555.2023.10450788
Li QZhu ZLiang J(2023)A satellite component contour extraction method for lightweight space mobile platformsAircraft Engineering and Aerospace Technology10.1108/AEAT-11-2022-033195:8(1217-1226)Online publication date: 6-Jun-2023
https://doi.org/10.1108/AEAT-11-2022-0331

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Dense 3D reconstruction combining depth and RGB information

A DAISY descriptor based multi-view stereo method for large-scale scenes

3D Scene Reconstruction from Multiple Spherical Stereo Pairs

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