University of Illinois Urbana-Champaign

Predicting effect of force using game engine synthesized dataset

Tao, Cheng

This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.

Permalink

https://hdl.handle.net/2142/100037

Description

Title
Predicting effect of force using game engine synthesized dataset
Author(s)
Tao, Cheng
Contributor(s)
Schwing, Alexander G.
Issue Date
2018-05
Keyword(s)
  • Machine Learning
  • Computer Vision
Abstract
This research aims to solve the problem of predicting the long-term sequential movements of an object in an image given a force vector applied to the object. To approach this topic using deep learning method, a dataset rich in quality and quantity is desired. In this thesis, a method of generating the dataset is proposed and evaluated. A game engine (Unity 3D) is used to generate a dataset with scene screenshots, object mask, force representation and resulting movements. With one scene, a total of 370,440 sequences can be generated. The result shows that, with a larger and more precise dataset, the accuracy can increase significantly.
Type of Resource
text
Language
en
Permalink
http://hdl.handle.net/2142/100037

Owning Collections

Senior Theses - Electrical and Computer Engineering PRIMARY
The best of ECE undergraduate research