Computer vision algorithms for live video processing using programmable graphics hardware

使用可编程图形硬件进行实时视频处理的计算机视觉算法

• 批准号: 293127-2012
• 负责人: Gong, Minglun
• 金额: $ 1.6万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=525802
• 关键词: Computer; vision; algorithms; live; video

Today's technology is increasingly powerful and affordable. For example, an 800 dollar graphics card today can process one Trillion FLOPs in double precision. Merely a decade ago, such processing power would come with a one million dollar price tag. Similarly, digital video cameras at the time were only available to movie producers, whereas today they are in the hands of billions of users, as well as integrated into phones, vehicles, and game consoles. The availability of low cost processing power and digital video capturing devices allow computer vision techniques to affect and benefit our day to day lives. They are making our phones smarter, our vehicles safer, and our game consoles much more fun to interact with.

当今的技术越来越强大且价格实惠。 例如，一个800美元的图形卡今天可以处理一个三进制浮点数在双精度。 仅仅在十年前，这样的处理能力还需要100万美元的价格。 同样，当时的数码摄像机仅适用于电影制片人，而今天它们掌握在数十亿用户手中，并集成到手机，车辆和游戏机中。 低成本处理能力和数字视频捕获设备的可用性使计算机视觉技术能够影响和造福我们的日常生活。 他们让我们的手机更智能，我们的汽车更安全，我们的游戏机更有趣的互动。