
Tools used: - Samsung Galaxy S8+ - Google ARCore 1.7 - OpenGL ES 3.1 - CurvSurf FindSurface. For a large and distant object, the motion tracking of Google ARCore is more stable than that of Apple ARKit. The extraction of feature points from images (i.e., frames of SLAM) is: - including also far points (ARCore) or only near points (ARKit), and - based on edges (ARCore) or regions (ARKit). Feature points are saved and utilized globally (ARCore) or locally (ARKit). 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, augmented reality, occlusion, 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
Column Cylinder San Francisco Intl Airport - ARCore - YouTube |
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Science & Technology Creative Commons Attribution licence (reuse allowed) | Upload TimePublished on 2 Jun 2019 |
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