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• W4306972414 abstract "• An optical-markers-assisted registration (OMAR) is proposed for panoramic 3D shape measurement. • A markers design strategy is proposed to generate the desired optical markers according to different requirements. • A markers-guided algorithm is correspondingly designed to make full use of the optical markers to recover the 360 ∘ 3D shape. • Experiments demonstrate that our OMAR can achieve flexible, non-destructive, high-efficiency and high-accuracy panoramic 3D shape measurement. Panoramic 3D shape measurement for larger-scale and complex objects inevitably requires multi-view point clouds registration. However, traditional registration methods often use expensive devices or inflexible physical markers. In this paper, a novel optical-markers-assisted registration (OMAR) method is proposed, which substitutes traditional physical markers with optical markers for the registration. Specifically, a markers design strategy is first proposed to generate the desired optical markers according to different requirements. The designed markers can be projected by using a low-cost projector or a laser with grating. The camera captures these projected markers from the object surface, and the 3D sensor collaboratively acquires the corresponding 3D point clouds. Finally, a markers-guided algorithm is specially designed to suit optical markers, which can make full use of the optical markers and recover the 360-degree 3D shape. The provided experimental results demonstrate both the accuracy and efficiency of the proposed OMAR in measuring large-scale, complex and texture-less objects. The proposed OMAR also enables flexible and non-destructive registration without losing accuracy compared with traditional registration methods." @default.
• W4306972414 created "2022-10-22" @default.
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• W4306972414 date "2023-02-01" @default.
• W4306972414 modified "2023-10-15" @default.
• W4306972414 title "Novel optical-markers-assisted point clouds registration for panoramic 3D shape measurement" @default.
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• W4306972414 doi "https://doi.org/10.1016/j.optlaseng.2022.107319" @default.
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