Extracting a large dome sphere from ARCore point cloud The dome of the planetarium is large and distant. To guarantee sufficient parallaxes between the successive frames of ARKit/ARCore, the device's moving speed should be high enough. But the hand-held mobile device was slow and shaken. The accuracy of motion tracking and point measurement is consequently bounded. Mobile AR for a large and distant object: - Active 3-D sensors (SL or ToF) are categorically excluded, because of the measuring range and the power consumption - Passive 3-D sensors (moving single or multiple lens camera) with sufficiently high moving speed are practical. Tools used: - Samsung Galaxy Note 9 - Google ARCore 1.7 - OpenGL ES 3.1 - CurvSurf FindSurface. With ARKit and Apple iPhone XS Max, a comparable result could not be obtained for the large dome, today April 2019. The Planetarium of Gwacheon National Science Museum (sciencecenter.go.kr) is located at 37°26'21"N 127°00'19"E. A virtual airplane will be flying around the real dome as an example of augmented reality with occlusion. 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
Planetarium Large Dome - Google ARCore - YouTube |
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