Thesis
Real-time video alignment and fusion using feature detection on FPGA
Master of Science (M.S.), Drexel University
Jun 2017
DOI:
https://doi.org/10.17918/etd-7416
Abstract
Video fusion functions as a way to combine the important or useful parts of two or more sequences of images. The scenario presented is the use of Laplacian fusion to produce a single video composed of the fields of view of two cameras whose areas of focus differ substantially. This is not a useful real-time strategy unless the fields can be aligned. This thesis presents a system for detecting features using an FPGA implementation of SURF (Speeded-Up Robust Features), and aligning video streams by applying a transform generated from the key features.
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Details
- Title
- Real-time video alignment and fusion using feature detection on FPGA
- Creators
- Robert Haywood Taglang - DU
- Contributors
- Prawat Nagvajara (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- v, 27 pages
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- College of Engineering (1970-2026); Electrical (and Computer) Engineering (1970-2026); Drexel University
- Other Identifier
- 7416; 991014632545404721