Generating Disparity Map for Stereo Vision Images

This text requires a more detailed explanation of the concept of "stereo vision." Stereo vision refers to the human ability to perceive depth and three-dimensional structure by using two eyes simultaneously observing an object. Since the two eyes are positioned at different locations, they generate a certain disparity, enabling our brain to calculate depth information. The "stereo vision image disparity map" is a method for representing this disparity information. Through processing images captured by both eyes (or cameras), we can generate an image where each pixel value indicates the distance difference between the corresponding object and the observer. To help users better understand this concept, we provide a ready-to-run demo that demonstrates the complete pipeline for generating stereo disparity maps. The implementation typically involves key computer vision algorithms such as stereo calibration, image rectification, and disparity computation using methods like block matching or semi-global matching (SGM). Users can directly execute the demo to observe how raw stereo images are transformed into meaningful depth representations through pixel-wise correspondence matching and depth calculation algorithms.