Dissertation
Enhancing 3D range geometry compression through tunable depth encoding algorithms
University of Iowa
Doctor of Philosophy (PhD), University of Iowa
Autumn 2021
DOI: 10.17077/etd.006344
Abstract
Recent advances in three-dimensional range scanning techniques allow for the high-speed acquisition of 3D data with very high precision. Additionally, 3D scanning systems are becoming increasingly affordable, enabling their use in a variety of applications such as telepresence, metrology, forensic science, security, and entertainment. As the quality and quantity of 3D data being generated increase, the cost of storing and transmitting this data also increases, potentially prohibiting the use of this technology. Therefore, it is necessary to compress the 3D information before applications can be widely enabled. This dissertation presents several novel methods of 3D range geometry compression that are tunable, allowing for the structure of the specific geometry being compressed and/or the needs of the target application to be leveraged in order to improve compression efficiency.
Details
- Title: Subtitle
- Enhancing 3D range geometry compression through tunable depth encoding algorithms
- Creators
- Matthew G. Finley
- Contributors
- Tyler Bell (Advisor)Joseph K. Kearney (Committee Member)Ananya Sen Gupta (Committee Member)Mona K. Garvin (Committee Member)Anton Kruger (Committee Member)
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), University of Iowa
- Degree in
- Electrical and Computer Engineering
- Date degree season
- Autumn 2021
- DOI
- 10.17077/etd.006344
- Publisher
- University of Iowa
- Number of pages
- xxvii, 176 pages
- Copyright
- Copyright 2021 Matthew G. Finley
- Comment
- This thesis has been optimized for improved web viewing. If you require the original version, contact the University Archives at the University of Iowa: https://www.lib.uiowa.edu/sc/contact/
- Language
- English
- Description illustrations
- color illustrations
- Description bibliographic
- Includes bibliographical references (pages 166-176).
- Public Abstract (ETD)
Recent advances in computing technology have allowed for the implementation of systems that can capture 3D scans of the surfaces present in a scene, also known as 3D range geometry, with high precision at high speeds. These systems are broadly applicable to fields such as medicine, forensic science, entertainment, and communications. However, the storage and transmission costs associated with the raw 3D data are very large, so it is necessary to compress the data into a more manageable format. This dissertation presents several novel methods of 3D range geometry compression that are tunable, allowing for their application—with benefits compared to existing methods—to a wide range of fields.
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984210943502771
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