2.5D Vision-Based Estimation

Abstract

2.5D vision-based techniques, also known as hybrid vision-based techniques, provide flexible ways to estimate the range or velocity of moving objects. The information from both the image space (2D) and the Cartesian space (3D) is simultaneously utilized to construct the system state in this technology, which overcomes the disadvantages of the traditional visual serving schemes. It has been widely adopted in Motion from structure, structure from motion, and structure and motion problems.