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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
Date Available in IDEALS:2018-05-24

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