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

Published: 25 February 2022 Publication History

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.

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Cited By

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  • (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
  • (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

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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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2022

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Author Tags

  1. 3D reconstruction
  2. Feature extraction
  3. Feature matching
  4. Sequence images
  5. Spatial non-cooperative targets

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ACAI'21

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Overall Acceptance Rate 173 of 395 submissions, 44%

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Cited By

View all
  • (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
  • (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

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