TY - GEN
T1 - An Innovative Approach of Evaluating the Accuracy of Point Cloud Generated by Photogrammetry-Based 3D Reconstruction
AU - Huang, Hong
AU - Ye, Zehao
AU - Zhang, Cheng
N1 - Publisher Copyright:
© 2021 Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - The theoretical accuracy of photogrammetry-based reconstruction has been studied intensively in literature, but the problem remains in evaluating the accuracy of the generated point cloud in real practice. Typically, checking the coordinates of ground control points (GCPs) using total station is considered a promising approach. However, the GCPs are artificial objects with clear and identifiable features and have consistent normal vectors or less roughness than natural objects, which cannot be considered as typical samples to evaluate the point cloud accuracy. Therefore, the present paper proposes an innovative method based on cloud-to-cloud comparison to evaluate the accuracy of point clouds generated from the SfM-MVS algorithm. The proposed method utilizes close-range photogrammetry with high accuracy as the referencing point cloud. A case study is carried out on a piece of the bare soil surface, which is about 1,000 m2with about a 1.5 m elevation variance. Compared to the GCPs-based method, the proposed method is more reliable in evaluating the accuracy of the 3D point cloud model.
AB - The theoretical accuracy of photogrammetry-based reconstruction has been studied intensively in literature, but the problem remains in evaluating the accuracy of the generated point cloud in real practice. Typically, checking the coordinates of ground control points (GCPs) using total station is considered a promising approach. However, the GCPs are artificial objects with clear and identifiable features and have consistent normal vectors or less roughness than natural objects, which cannot be considered as typical samples to evaluate the point cloud accuracy. Therefore, the present paper proposes an innovative method based on cloud-to-cloud comparison to evaluate the accuracy of point clouds generated from the SfM-MVS algorithm. The proposed method utilizes close-range photogrammetry with high accuracy as the referencing point cloud. A case study is carried out on a piece of the bare soil surface, which is about 1,000 m2with about a 1.5 m elevation variance. Compared to the GCPs-based method, the proposed method is more reliable in evaluating the accuracy of the 3D point cloud model.
UR - http://www.scopus.com/inward/record.url?scp=85132567005&partnerID=8YFLogxK
U2 - 10.1061/9780784483893.114
DO - 10.1061/9780784483893.114
M3 - Conference Proceeding
AN - SCOPUS:85132567005
T3 - Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021
SP - 926
EP - 933
BT - Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021
A2 - Issa, R. Raymond A.
PB - American Society of Civil Engineers (ASCE)
T2 - 2021 International Conference on Computing in Civil Engineering, I3CE 2021
Y2 - 12 September 2021 through 14 September 2021
ER -