In the fields of computing and computer vision, pose (or spatial pose) represents the position and the orientation of an object, each usually in three dimensions.
Pose estimation problems can be solved in different ways depending on the image sensor configuration, and choice of methodology.
Three classes of methodologies can be distinguished: Camera resectioning is the process of estimating the parameters of a pinhole camera model approximating the camera that produced a given photograph or video; it determines which incoming light ray is associated with each pixel on the resulting image.
Basically, the process determines the pose of the pinhole camera.
The extrinsic parameters define the camera pose (position and orientation) while the intrinsic parameters specify the camera image format (focal length, pixel size, and image origin).