Augmented Reality using a Neural Network
2012-04-04

This is the project that I have worked on for senior seminar at Ripon College. It is a simple augmented reality system using a neural network inspired by the biological vision system. It uses

For image recognition, the global representation of images are used as image features. The SOM, also known as Kohonen Map, is a two-layer artificial neural network comprising the input layer and the competition layer that is a grid of neurons. Each neuron is represented by a vector that has the same dimension as an input feature vector. During the training, the SOM groups the similar pictures together in the competition layer and chooses a neuron for each group.

arscreenshot.png

Figure 1: Screenhot of the AR interface

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