Files in this item

FilesDescriptionFormat

application/pdf

application/pdfECE499-Sp2018-tao.pdf (789kB)Restricted to U of Illinois
(no description provided)PDF

Description

Title:Predicting effect of force using game engine synthesized dataset
Author(s):Tao, Cheng
Contributor(s):Schwing, Alexander G.
Subject(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.
Issue Date:2018-05
Genre:Other
Type:Text
Language:English
URI:http://hdl.handle.net/2142/100037
Date Available in IDEALS:2018-05-24


This item appears in the following Collection(s)

Item Statistics