Date of Award

2018

Degree Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Computer Science and Statistics

First Advisor

Jean-Yves Hervé

Abstract

The feasibility of encoding pose and posture information within surface textures for digital reconstruction of the inverse-mapping problem of computer vision was explored. This was done using a combination of three biology-inspired artificial intelligence techniques. Initial steps were conducted in this pursuit and the path to further research is laid out. It was found that textures can be used to encode information on a 3D surface to supplement computer vision systems.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Available for download on Monday, April 20, 2020

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