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