Visual Odometry is the process of determining the position and orientation of a camera by analyzing the changes in the images captured by the camera. It is a specialized skill that is used in robotics, autonomous vehicles, and other computer vision applications where precise navigation is critical. Visual Odometry involves using various techniques, including feature tracking, structure from motion analysis, and machine learning, to estimate the camera's position and orientation relative to its starting point. It is a challenging task that requires a deep understanding of computer vision and mathematics, as well as extensive experience in developing and implementing algorithms.