Fully Convolutional Geometric Features for Category-level Object Alignment
Qiaojun Feng,Nikolay Atanasov,Qiaojun Feng,Nikolay Atanasov
This paper focuses on pose registration of different object instances from the same category. This is required in online object mapping because object instances detected at test time usually differ from the training instances. Our approach transforms instances of the same category to a normalized canonical coordinate frame and uses metric learning to train fully convolutional geometric features. T...
