Research on machine vision and some advanced sensors is important for improving the existing applications in product inspections, automation, intelligent transportation systems, human life assistance, and other intelligent systems. In the field of robotic systems, visual odometry (VO) is the process of analyzing the associated camera images to discover the location and orientation of a mobile robot. VO is the process of recovering the related position and orientation of a robot by analyzing the associated vision devices. It aims to recover the parameters of the equivalent odometry data using sequential camera images to estimate the motion of travel by the robot. In structure from motion technology, the general idea is that a camera captures the sequential images of the world scene in different positions. The core idea is finding the relations of images in order to extract the camera position and thus, the robot location.