Looking at the color frame it’s hard to distinguish plant leaves from leaves painted on a wall, but the depth data makes it easy. In the sample images below you can see the color frame and the depth frame showing the same scene (depth frame is colored so that the darker the color the closer the object on the scene). In contrast to traditional computer vision algorithms that work on color pixmaps, a 3D camera adds another dimension of data, which allows to fundamentally expand the range of computer vision algorithms that can be applied to that data, as in addition to a color pixmap there is depth information. And I’m sure that 3D cameras will be used even more in the future.ģD cameras enable much more advanced use cases. 3D cameras can be used anywhere: robotics, gaming, augmented reality, virtual reality, smart homes, healthcare, retail, automation, and so on. So it’s safe to say that in the near future it would be absolutely common to have a 3D camera just lying around. Nowadays, even smartphones are getting equipped with depth sensors to provide advanced 3D features. In the last decade, 3D technology has become a part of normal life – we watch movies in 3D, play VR games, use 3D printers to create volumetric details, and so on. He is currently a software engineer at Xperience.AI working on OpenCV and IoT software.
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