Pose Estimation Based on 3D Models

This project aims to estimate the pose of an object in the image. Pose estimation problem is known to be an open problem and also a crucial problem in computer vision field. Many real-world tasks depend heavily on or can be improved by a good pose estimation. For example, by knowing the exact pose of an object, robots will know where to sit on, how to grasp, or avoid collision when walking around. Besides, pose estimation is also applicable to automatic driving. With good pose estimation of cars, automatic driving system will know how to manipulate itself accordingly. Moreover, pose estimation can also benefit image searching, 3D reconstruction and has a large potential impact on many other fields.