11 July 2016 3D point cloud registration based on the assistant camera and Harris-SIFT
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Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110U (2016) https://doi.org/10.1117/12.2242995
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan
Abstract
3D(Three-Dimensional) point cloud registration technology is the hot topic in the field of 3D reconstruction, but most of the registration method is not real-time and ineffective. This paper proposes a point cloud registration method of 3D reconstruction based on Harris-SIFT and assistant camera. The assistant camera is used to pinpoint mobile 3D reconstruction device, The feature points of images are detected by using Harris operator, the main orientation for each feature point is calculated, and lastly, the feature point descriptors are generated after rotating the coordinates of the descriptors relative to the feature points’ main orientations. Experimental results of demonstrate the effectiveness of the proposed method.
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Yue Zhang, Yue Zhang, HongYang Yu, HongYang Yu, } "3D point cloud registration based on the assistant camera and Harris-SIFT", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110U (11 July 2016); doi: 10.1117/12.2242995; https://doi.org/10.1117/12.2242995
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