I am thinking about a toy project that would use a neural network for object recognition. Some of my objects are quite similar when viewed from one specific angle but easily distinguishable when viewed from a different angle. Thus my question:
What are methods to feed multiple images of the same object into a network? Or which network architectures exist that can take advantage of multiple images taken at different angles?
I have a good understanding of machine learning techniques but only basic understanding of neural networks. So what I am looking for here is both names of methods, techniques and other jargon that would be relevant for a google search as well as links to specific papers or articles that could be of interest.