5 Questions
What is the process of estimating the parameters of a pinhole camera model called?
Camera resectioning
Which parameters define the camera pose (position and orientation)?
Extrinsic parameters
What does the camera matrix represent?
Camera parameters
What is often required in classic camera calibration but not in camera auto-calibration?
Special objects in the scene
In stereo vision, what is used to calculate the 3D world coordinates of a point viewed by both cameras?
Camera projection matrices
Study Notes
Camera Model Parameters Estimation
- The process of estimating the parameters of a pinhole camera model is called camera calibration.
Camera Pose Parameters
- The parameters that define the camera pose (position and orientation) are the rotation matrix R and translation vector t.
Camera Matrix
- The camera matrix represents the intrinsic parameters of the camera, including the focal length, principal point, and distortion coefficients.
Classic Camera Calibration vs. Auto-Calibration
- Classic camera calibration often requires a known calibration pattern (e.g., a chessboard), but camera auto-calibration does not require this.
Stereo Vision and 3D World Coordinates
- In stereo vision, the disparity between the image points in the two cameras is used to calculate the 3D world coordinates of a point viewed by both cameras.
Test your knowledge of camera resectioning, projection matrices, and the estimation of pinhole camera parameters. Understand how the process determines the pose of the camera and associates incoming light rays with pixels in an image.
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