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Research map / 3D vision / Depth and stereo

A Quasiconvex Formulation for Radial Cameras

CVPR 2021 · 3D vision › Depth and stereo · approach: Camera model and calibration for SfM · 2 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the 1D radial camera formulation instead of the pinhole formulationKnown-rotation reconstruction · Synthetic radial distortion, seven datasets in Table 1L∞ reprojection error: Corner: 27.0 -> 1.8; De Guerre: 37.4 -> 3.7; Round Church: 83.1 -> 4.6; Sri Thendayuthapani: 73.7 -> 5.3; Doge Palace CoHelped
Use the 1D radial camera formulation instead of the pinhole formulationKnown-rotation reconstruction · Synthetic radial distortion, seven datasets in Table 1Inlier count: Corner: 5631 -> 6545; De Guerre: 6501 -> 9182; Round Church: 21503 -> 33124; Sri Thendayuthapani: 35298 -> 50389; Doge PHelped
Use the 1D radial camera formulation instead of the pinhole formulationKnown-rotation reconstruction · Synthetic radial distortion, seven datasets in Table 13D-RMS (inliers): Corner: 0.065 -> 0.028; De Guerre: 0.508 -> 0.297; Round Church: 0.535 -> 0.270; Sri Thendayuthapani: 0.735 -> 0.348; DoHelped
Use radial-camera triangulation rather than pinhole triangulationTriangulation · Corner and De Guerre, original images3D errorMixed
Add synthetic radial distortionRadial-camera triangulation · Corner and De GuerreReconstruction qualityNo clear effect
Add image noise with standard deviation 5 pixelsRadial-camera triangulation · Corner and De Guerre3D errorHurt

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