Motion field

In computer vision the motion field is an ideal representation of 3D motion as it is projected onto a camera image. Given a simplified camera model, each point ( y 1 , y 2 ) {displaystyle (y_{1},y_{2})} in the image is the projection of some point in the 3D scene but the position of the projection of a fixed point in space can vary with time. The motion field can formally be defined as the time derivative of the image position of all image points given that they correspond to fixed 3D points. This means that the motion field can be represented as a function which maps image coordinates to a 2-dimensional vector. The motion field is an ideal description of the projected 3D motion in the sense that it can be formally defined but in practice it is normally only possible to determine an approximation of the motion field from the image data. In computer vision the motion field is an ideal representation of 3D motion as it is projected onto a camera image. Given a simplified camera model, each point ( y 1 , y 2 ) {displaystyle (y_{1},y_{2})} in the image is the projection of some point in the 3D scene but the position of the projection of a fixed point in space can vary with time. The motion field can formally be defined as the time derivative of the image position of all image points given that they correspond to fixed 3D points. This means that the motion field can be represented as a function which maps image coordinates to a 2-dimensional vector. The motion field is an ideal description of the projected 3D motion in the sense that it can be formally defined but in practice it is normally only possible to determine an approximation of the motion field from the image data. A camera model maps each point ( x 1 , x 2 , x 3 ) {displaystyle (x_{1},x_{2},x_{3})} in 3D space to a 2D image point ( y 1 , y 2 ) {displaystyle (y_{1},y_{2})} according to some mapping functions m 1 , m 2 {displaystyle m_{1},m_{2}} :