Computer Vision: Crash Course Computer Science #35
Today we're going to talk about how computers see. We've long known that our digital cameras and smartphones can take incredibly detailed images, but taking pictures is not quite the same...
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Hi, I’m Carrie Anne, and welcome to Crash Course Computer Science! Today, let’s start by thinking about how important vision can be. Most people rely on it to prepare food, walk around obstacles, read street signs, watch videos like this, and do hundreds of other tasks. Vision is the highest bandwidth sense, and it provides a firehose of information about the state of the world and how to act on it. For this reason, computer scientists have been trying to give computers vision for half a century, birthing the sub-field of computer vision. Its goal is to give computers the ability to extract high-level understanding from digital images and videos. As everyone with a digital camera or smartphone knows, computers are already really good at capturing photos ...
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Hi, I’m Carrie Anne, and welcome to Crash Course Computer Science! Today, let’s start by thinking about how important vision can be. Most people rely on it to prepare food, walk around obstacles, read street signs, watch videos like this, and do hundreds of other tasks. Vision is the highest bandwidth sense, and it provides a firehose of information about the state of the world and how to act on it. For this reason, computer scientists have been trying to give computers vision for half a century, birthing the sub-field of computer vision. Its goal is to give computers the ability to extract high-level understanding from digital images and videos. As everyone with a digital camera or smartphone knows, computers are already really good at capturing photos ...
