Publication | Open Access
A study of projections for key point based registration of panoramic terrestrial 3D laser scan
31
Citations
45
References
2015
Year
EngineeringPannini ProjectionPoint Cloud ProcessingPoint CloudLaser ScanScan RegistrationImage AnalysisStereo VisionImage RegistrationComputational ImagingPhotometric StereoComputational GeometryPanoramic Terrestrial 3DRadiologyGeometric ModelingCartographyMachine VisionSynthetic Aperture RadarPanoramic Reflectance ImagesComputer VisionNatural SciencesDigital PhotogrammetryRemote SensingKey Point3D Scanning3D Reconstruction
This paper surveys state-of-the-art image features and descriptors for the task of 3D scan registration based on panoramic reflectance images. As modern terrestrial laser scanners digitize their environment in a spherical way, the sphere has to be projected to a two-dimensional image. To this end, we evaluate the equirectangular, the cylindrical, the Mercator, the rectilinear, the Pannini, the stereographic, and the z-axis projection. We show that the Mercator and the Pannini projection outperform the other projection methods.
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