Student Work
Accelerating Augmented Reality Video Processing with FPGAs
公开可下载的内容
open in viewerThis project implemented a system for performing augmented reality on a Xilinx Zync FPGA. Augmented and virtual reality is a growing field currently dominated by desktop computer based solutions, and FPGAs offer unique advantages in latency, performance, bandwidth, and portability over more traditional solutions. The parallel nature of FPGAs also create a favorable platform for common types of video processing and machine vision algorithms. The project uses two OV7670 cameras mounted on the front of an Oculus Rift DK2. A video pipeline is designed around an Avnet ZedBoard, which has a Zynq 7020 SoC/FPGA. The system aimed to highlight moving objects in front of the user.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-042716-172155
- Advisor
- Year
- 2016
- Date created
- 2016-04-27
- Resource type
- Major
- Rights statement
关系
- 属于 Collection:
项目
单件
缩略图 | 标题 | 公开度 | Embargo Release Date | 行动 |
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armqp-final-report.pdf | 公开 | 下载 | ||
armqp_final_presentation.pdf | 公开 | 下载 | ||
armqp_final.zip | 公开 | 下载 | ||
armqp_poster.pdf | 公开 | 下载 |
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