My AI Seminar Adventures

Looking into the key innovations of the paper on Tracking of Deformable Objects Related Paper: RGB-D Tracking and Optimal Perception of Deformable Objects The tracking of deformable objects is a more challenging task than tracking rigid objects. The reason is that as force is exerted onto a deformable object it can move in more unpredictable ways. There is also an increased possibility of occlusions as the object, for example a rope,  overlaps on itself, which make tracking difficult. Having a great understanding of deformable objects will be necessary in the field of robotics with various important applications such as for medical surgeries or automating routine tasks such as folding laundry.   The main challenge in terms of using supervised ML approaches is that there is not a lot of labelled dataset available for learning. The authors are proposing a learning free method by essentially preprocessing the RBG and Depth data into point clouds and performing a graph-based super...