Towards Robotic 3D Surface Processing with Global Local Neural Region Descriptor Fields
摘要
Recent developments show one-shot region of interest knowledge transfer across category level objects utilizing implicit neural networks. This work extends the current state of the art with a hybrid global-local feature extraction and documents the first practical application of this technology targeting robotic surface processing.