I am working on a project in which I will be performing object detection on deformed objects. Unfortunately, there isn't enough data sets to train them on some neural network. I am looking for reference on computer vision algorithms that does not require learning or training on datasets. Rather, topics arising from "structure from motion" that are popular within the computer vision community.
Some note: The object detection will take place in an open environment rather close environment.