今日ã®äº•åŽŸ. - カーãƒã‚®ãƒ¼ãƒ¡ãƒãƒ³å¤§å¦ã€ãŸã£ãŸï¼‘æžšã®å†™çœŸã‹ã‚‰3Dオブジェクトをå†ç¾ã™ã‚‹æŠ€è¡“を開発カーãƒã‚®ãƒ¼ãƒ¡ãƒãƒ³å¤§å¦ã®ãƒ—レスリリースより。ã“ã‚Œã¯é¢ç™½ã„。左上ã®å†™çœŸã‚’å–°ã‚ã›ã‚‹ã¨ã€ãã“ã‹ã‚‰3Dオブジェクトをå†ç¾ã—ã¦ã€å³ä¸Šã‚„å³ä¸‹ã‚„左下ã®ã‚ˆã†ãªç”»åƒã‚’生æˆã§ãるらã—ã„。精度ã«ã‚‚よるã‘ã©ã€å¿œç”¨ç¯„囲広ãã†ã ãªã‚。 Using machine learning techniques, Robotics Institute researchers Alexei Efros and Martial Hebert, along with graduate student Derek Hoiem, have taught computers how to spot the visual cues that differentiate between vertical surfaces and horizontal surfaces in photographs of outdoor scenes. They
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