What are the advantages and disadvantages of different stereo calibration methods?
Stereo vision is the ability to perceive depth and distance from two different viewpoints, similar to how humans see the world. It is a useful skill for computer vision applications, such as autonomous driving, 3D reconstruction, and augmented reality. However, to achieve accurate stereo vision, the cameras need to be calibrated properly, which means finding the relative position, orientation, and distortion parameters of each camera. There are different methods for stereo calibration, each with its own advantages and disadvantages. In this article, we will compare some of the most common methods and how they affect the quality and efficiency of stereo vision.
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