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An Efficient Feature Point Reconstruction Method for Robotic Visual Servoing Based on Multiple Cameras

摘要


This paper deals with the problem of reconstructing the three-dimensional (3D) feature points for robotic visual servoing. Based on the epipolar geometry constraint and the ray distance constraint, a 3D feature point reconstruction method is proposed based on multiple cameras. Simulation and real experiments are performed to show the effectiveness of the proposed method (the reconstruction accuracy reaches millimeter level). Compared to traditional feature point reconstruction methods, the proposed method is not only suitable for conventional cameras but also suitable for fish-eye cameras, which expands the application range.

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