Detection of a plane in 3D space using aruco markers. It detects any set of tags with defined realworld positions on a json file. Then it computes projection of points on plane. It can also compute a perspective transform based on the computed homography matrix, which crops the area inside the tags placed on the corners. The volume of the computed area is defined by a 3d box that is updated with the detected tags. The more tags are detected, the better the box and area are represented.
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Detection of a plane in 3D space using aruco markers. It detects any set of tags with defined realworld positions on a json file. Then it computes projection of points on plane. It can also compute a perspective transform based on the computed homography matrix, which crops the area inside the tags placed on the corners. The volume of the comput…
david-s-martinez/Automatic-Workspace-Calibration-Based-on-Aruco
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Detection of a plane in 3D space using aruco markers. It detects any set of tags with defined realworld positions on a json file. Then it computes projection of points on plane. It can also compute a perspective transform based on the computed homography matrix, which crops the area inside the tags placed on the corners. The volume of the comput…
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