Computer vision methods and algorithms for embedded vision applications

这项研究的目的是开发实用的计算机视觉算法，用于嵌入式视觉应用。这项研究将与总部位于渥太华的Cognivue公司合作完成，该公司专门设计可编程的图像认知处理器(ICP)，在智能设备应用中实现实时嵌入式图像和视频分析。这项研究将集中于识别、开发、实施和测试最适合特定计算机视觉应用的算法。 已确定的应用领域是立体视觉、增强现实和对象识别、人脸分析和识别。一旦开发出特定的算法，研究人员将与该公司的工程师密切合作，将其部署在Cognivue ICP板上。该项目为Cognivue提供了在嵌入式视觉应用环境中测试、验证和改进其APEX CV应用接口(API)和架构的机会。对于我们实验室的研究人员来说，这将是一个将研究团队开发的视觉算法部署在现实世界应用程序中的机会。

The objective of this research is to develop practical computer vision algorithms to be used in embedded vision applications. This research will be done in partnership with Cognivue, an Ottawa-based company, specializing in designing programmable Image Cognition Processors (ICPs) that enable real-time embedded image and video analytics in smart device applications. The research will focus on identifying, developing, implementing and testing the most appropriate algorithms for specific computer vision applications. The identified field of applications are Stereovision, Augmented reality and object recognition, Face analysis and recognition. Once a particular algorithm is developed, the researchers will work in close collaboration with the company's engineers to deploy it on the Cognivue ICP board. This project represents an opportunity for Cognivue to test, validate and improve its APEX CV Application Interface (API) and architecture in the context of embedded vision applications. For the researchers of our lab, it will be an opportunity to deploy vision algorithms developed by the team of researchers in real-world applications.