Approved
Computer vision using biomimicking AI system
Elias Högbom Aronsson (N16)
Start
2021-06-18
Presentation
2021-10-27 13:15
Location:
https://lu-se.zoom.us/j/62851559237?from=addon
Finished:
2022-05-10
Master's thesis:
Abstract
To recognize things in the world is something we do effortlessly. We can recognize a bird even if we have never seen that particular species or from that angle. For computers, this is not that easy. To define everything that makes a bird, a bird, in pixel values, is not a trivial task. Modern machine learning methods try to, instead get the computer to learn all these different aspects by itself. This has proven successful for many tasks, but requires large amounts of training data and computational resources. These methods also have problems generalizing to new situations. The company IntuiCells AI technology was built on more general assumptions and inspiration from neuroscience, to address such problems. This thesis builds on IntuiCell technology, to see if this novel approach works in the field of computer vision. First, two videos were animated and rendered, to test out different aspects of the model, as wells as to prove its promise. When this was completed a recording setup, consisting of a box with controllable LEDs and a motorized slider, where objects could be moved, was constructed. From the recordings, the model was trained to recognize different objects. This gave promising results. The model could recognize the different objects, even in some new situations. This shows a first promising result, of this novel approach to computer vision.
Supervisor: Fredrik Edman (EIT)
Examiner: Erik Larsson (EIT)