TY - GEN
T1 - 3D reconstruction of spatial non cooperative target based on improved traditional algorithm
AU - Chen, Zhisheng
AU - Zhang, Cheng
AU - Su, Di
AU - Wang, Shaobo
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/12/22
Y1 - 2021/12/22
N2 - 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.
AB - 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.
KW - 3D reconstruction
KW - Feature extraction
KW - Feature matching
KW - Sequence images
KW - Spatial non-cooperative targets
UR - http://www.scopus.com/inward/record.url?scp=85125942912&partnerID=8YFLogxK
U2 - 10.1145/3508546.3508578
DO - 10.1145/3508546.3508578
M3 - Conference contribution
AN - SCOPUS:85125942912
T3 - ACM International Conference Proceeding Series
BT - Conference Proceeding - 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2021
PB - Association for Computing Machinery
T2 - 4th International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2021
Y2 - 22 December 2021 through 24 December 2021
ER -