My take on RGB-D Tracking & Optimal Perception for Deformable Objects and IJCAI review
Revisiting RGB-D Tracking and Optimal Perception Paper - My thoughts, reception, impact of paper and objective review My Thoughts Honestly, I found this paper to be an excellent starting point into the topic of 3D segmentation of deformable objects. It does not rely on deep learning or tons of training data - so it's very practical to get started. The authors use super voxel graphs to track texture-less deformable objects in real-time, which is a learning-free approach. I have actually tried to implement parts of the work into my VT Project of segmenting and tracking a rope in 3D, I have created a dense point cloud and downsampled it into super voxels. Then I tried to create from the point cloud, object segments using Locally Convex Connected Patches (LCCP). During this approach, I found out that the libraries for this approach are only available in C++ and are not well maintained. As for my project, the additional complexity was not necessary as my problem does ...