Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences.
Surabhi VermaJulie Stephany BerrioStewart WorrallEduardo M. NebotPublished in: CoRR (2019)
Keyphrases
- camera calibration
- camera parameters
- intrinsic parameters
- camera pose
- optical axis
- planar scenes
- focal length
- ground plane
- calibration method
- relative pose
- structure from motion
- vanishing points
- image correspondences
- image coordinates
- geometric constraints
- scale factor
- homography estimation
- multiple cameras
- epipolar lines
- autocalibration
- camera positions
- bundle adjustment
- stereo camera
- line features
- calibration procedure
- epipolar constraint
- radial distortion
- multi view
- point cloud
- intrinsic and extrinsic parameters
- computer vision
- projection matrix
- optical center
- gaze estimation
- feature points
- lens distortion
- pinhole camera
- projective reconstruction
- virtual camera
- vision system
- projective geometry
- point correspondences
- degenerate configurations
- imaging model
- high resolution
- perspective camera
- camera network
- epipolar geometry
- d scene
- scene structure
- field of view
- transformation matrix
- uncalibrated cameras
- image planes
- camera orientation
- wide angle lenses
- affine camera
- camera motion
- pose estimation