Abstract
3D scanning is a surface reconstruction and a data processing technique which has already been widely used in reverse engineering, agricultural identification and other fields. However, most of the Commercial Off-The-Shelf (COTS) 3D scanning instruments are now developed for small and medium-sized targets, and there lacks an effective means for large-scale objects. In this paper, a multi-scale 3D scanning scheme with active-recognition is presented, which can effectively realize 3D information reconstruction of large-scale targets and recognition. First, data collected by 3D scanners based on structured light technology, which are placed at multiple angles, can be aligned together to generate a complete point cloud. Second, in order to achieve the panoramic view of the target, a camera with higher precision is mounted on the robotic arm for close-up shooting of the areas that are not easy to accurately capture. Finally, multi-scale and multi-resolution target scanning are achieved through refined scanning and detail feature recognition. This method combines large-scale structured light scanning with close-range image acquisition, which has potentials in fruit picking positioning, flaw detection of large workpieces, and three-dimensional human body modeling.
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Acknowledgements
This work was supported by a grant from the National Natural Science Foundation of China (No. 51775333) and Scientific Research Program of Shanghai Science and Technology Commission (No. 18391901000).
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Gu, D., Zhu, K., Shao, Y., Wu, W., Gong, L., Liu, C. (2019). 3D Scanning and Multiple Point Cloud Registration with Active View Complementation for Panoramically Imaging Large-Scale Plants. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11741. Springer, Cham. https://doi.org/10.1007/978-3-030-27532-7_30
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DOI: https://doi.org/10.1007/978-3-030-27532-7_30
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