Visual odometry

[1] In navigation, odometry is the use of data from the movement of actuators to estimate change in position over time through devices such as rotary encoders to measure wheel rotations.

Visual odometry allows for enhanced navigational accuracy in robots or vehicles using any type of locomotion on any[citation needed] surface.

[4][12][13] Another method, coined 'visiodometry' estimates the planar roto-translations between images using Phase correlation instead of extracting features.

[16] In the field of computer vision, egomotion refers to estimating a camera's motion relative to a rigid scene.

[20] Using stereo image pairs for each frame helps reduce error and provides additional depth and scale information.

The optical flow field illustrates how features diverge from a single point, the focus of expansion.