Definition - the parameters that define the location and orientation of the camera reference frame with respect to a known world reference frame.
Definition - the parameters that are needed to link the pixel coordinates of an image point with the corresponding coordinates in the camera reference frame.
Definition - Stereo vision refers to the ability to infer information on the 3d structure and distance of a scene from two or more images taken from different viewpoints.
Correspondence Problem -
Which parts of the left and right images are projections of the same scene element?
Reconstruction Problem - Given a number of corresponding parts of the left and right image, and possibly information on the geometry of the stereo system, what can we say about the 3d location and structure of the observed objects?
Triangulation - The way in which stereo determines the position in space of corresponding points in pairs of images.
Baseline - The distance between the centers of projection
Disparity - The difference in retinal position betwen the corresponding points in two images. Disparity is inversely propertional to the depth of the point in space.
Intrinsic Stereo Parameters - Characterize the transformation mapping an image point from camera to pixel coordinates in each camera.
Extrinsic Stereo Parameters - Describe the relative position and orientation of the two cameras.
Definition - The geometry of stereo. Each point in the left image is restricted to lie on a given line in the right image, the epipolar line--and vice versa. This is called the epipolar constraint.
Epipoles - The point at which the line through the centers of projection of each image intersects the image planes. The left epipole is the image of the center of projection of the right camera and vice versa.
Essential Matrix E -
Establishes a natural link between the epipolar constraint and the extrinsic parameters of the stereo system. Extrinsic parameters can be retrieved via E In sum, Eis the mapping between points and epipolar lines we were looking for.
Satisfies the equation: pr
Fundamental Matrix F -
Establishes a link between the epipolar constraint and the extrinsic parameters of the stereo system. The difference from the Essential Matrix is that F is defined in terms of pixel coordinates, while E is defined in terms of camera coordinates.
Satisfies the equation: pr
Rectification F - Given a stereo pair of images, rectification determines a transformation of each image such that pairs of conjugate epipolar lines become collinear and parallel to one of the images axes, usually the horizontal one. Why? Because, then the correspondence problem is reduced to 1d from 2d.
The amount of 3d Reconstruction possible depends on the amount of a priori knowledge available on the parameters of the stereo system.