Games Engineering Programs

A performance comparison of CNNs trained on synthetically generated or recorded data for gaze estimation

HCI Project
Created by
Frederik Stoiber


In this work the data generator PeopleSansPeople will be adapted and used to create a dataset of images of the 3D human assets included in he Microsoft RocketBox Avatar Library for the training of a Convolutional Neural Network (CNN), that should be capable of eye gaze estimation. This network will be compared with another CNN that was trained with a naturally recorded dataset, to validate the assumption, that we can use synthetic data to get plausible results.

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