2024
DOI: 10.1088/1361-6501/ad8cff
|View full text |Cite
|
Sign up to set email alerts
|

High-precision automated processing of sequential images for high-speed videogrammetric measurement

Xianglei Liu,
Yuqi Zhang,
Yuan Yao
et al.

Abstract: High-speed videogrammetric measurement is widely used in fields of structural health monitoring. However, it is difficult to perform efficient and accurate automation for the copious sequential images data. This paper proposes a novel high-precision automated sequential images processing method for high-speed videogrammetric measurement. First, a precision Circular Marker Detection Network (CMDNet) model is proposed to detect circular marker, which can effectively address recognition challenges associated with… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 36 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?