Three Dimensional Structure Refinement using Geometry and Machine Learning based Techniques for Robotics

3D reconstruction is one of the important research problems in computer vision and robotics. When combined with camera motion tracking, reconstruction allows a robot to navigate the world and perform meaningful actions. This thesis focuses on improving the quality of reconstruction using techniques from geometry as well as machine learning