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Highly Reflective Surface Measurement Based On Dual Stereo Monocular Structured Light System Fusion

Daochuan Wang, Kejing He, Congying Sui, Congyi Lyu, Yinping Lai, Huiwen Guo, Yunhui Liu

发表年份
2019
引用次数
8

摘要

3D surface measurement plays an important role in robotics. In this paper, we provide a highly reflective surface measurement method based on combination of dual stereo monocular structured light system fusion. A predetermined rigid transformation matrix is utilized to improve fusion quality for the fusion area. Moreover, a final decision map is created to avoid the reconstruction of repeating regions of left and right system for ensuring the accuracy of the non-fusion area to achieve monocular system accuracy. The validity and accuracy of our algorithm are verified by designed experiments. Furthermore, various complex objects are measured including a metal surface, a phone case and a motor component, which show the proposed method has the capability to solve the highly reflective surface measurement problem and the occlusion problem.

关键词

MonocularArtificial intelligenceComputer visionComputer scienceStereopsisSensor fusionSurface (topology)Transformation matrixFusionImage fusion

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