Test the robustness of motion tracking with Google ARCore. Motion tracking is influenced by many factors, e.g., sensors, distance to object surface, device moving speed, etc. Tools used: - Samsung Galaxy Note 9 - Google ARCore 1.7 - OpenGL ES 3.1 - CurvSurf FindSurface 3-D, least squares, analytic geometry, differential geometry, principal curvature, principal direction, fitting, curve, surface, orthogonal distance fitting, robust fitting, point cloud, segmentation, region growing, outlier elimination, object recognition, reverse engineering, CAD CAM, BIM, laser scanner, curve fitting, surface fitting, plane fitting, sphere fitting, cylinder fitting, cone fitting, torus fitting, piping, reducer, elbow, box, cuboid, radius, length, size, position, location, orientation, pose, rotation, axis, Software, ISO 10360-6, ARKit, ARCore, HoloLens, RealSense, FindSurface
Being Shaken and then Remembering - Google ARCore - YouTube |
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