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