7 DAILY ICCV Thursday only to do contrast-detection autofocus (CDAF): for every iteration in the algorithm, you have to capture multiple images to land on the autofocus image because contrast detection autofocus relies on searching for the best focus instead of computing for the best focus. There is a lot of computer vision work to discover in this paper. First of all, all in focus imaging is computer vision. “I would say this one falls into the category of physics-based computer vision,” Yingsi adds, “where you use physicsbased ideas and models to enable new capabilities for a computer vision system. This camera is a computer vision system because it enables the machine to have vision, to see the world, to perceive more information. All in focus imaging itself is providing more information to the machine or to any computer at a single instant compared to conventional cameras, because conventional cameras would have blurry information at other depths. But all in focus imaging, you can have all seen in focus at the same time!” Yingsi feels very excited for this new technology because for the first time we can auto focus every object at the same time: “There's no camera that can do it today!”, she exclaims. Also in autonomous driving Yingsi Qin
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