![]() However, in other cases, we may need to calibrate them constantly, if cameras are constantly moving with respect to one another. If we fix the cameras’ position relative to each other, we can calibrate just once and operate under a known relationship. Keep in mind: the camera could be moving. It allows us to understand shape of world, and what is in the image. It is the key to unlocking the images and using them for 3d reasoning. ![]() ![]() Depth is crucial for navigating in the world. Depth is the missing ingredient, and the goal of computer vision here is to recover the missing depth information of the scene when and where the image was acquired. The basic idea is the following: a camera takes picture of the same scene, in two different positions, and we wish to recover the depth at each pixel. Humans also use stereo vision, with a baseline (distance between our eyes) of 60 mm. The task requires finding matching pixels in the two images and converting the 2D positions of these matches into 3D depths. “Stereo matching” is the task of estimating a 3D model of a scene from two or more images.
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