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
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