(National Aviation University, 2021-04-28) Sych, Alexey; Сич, Олексій Сергійович
One of the data processing applications is stereo vision, in which obtaining a three-dimensional scene is based on models for determining the depths of key points of images from a video sequence or several images. If it is considered an example with a person, then a two-dimensional image is formed on the retina, but despite this, a person perceives the depth of space, that is, has three-dimensional, stereoscopic vision. As a result, in the presence of data on the size of an object, it can be estimated the distance to it or understand which of the objects is closer. When one object is in front of the other and partially obscures it, the person perceives the front object at a closer distance. Because of this, the need arose to teach machine devices to do this for various tasks. Based on the processing results, you can have spatial information for assessing the relief, obstacles while driving, etc. This algorithm is based on combining images of the same object, photographed or filmed on video with constant camera parameters and in the same focal plane from different angles, allows to obtain information about the distance to the object by perspective distortions (discrepancies).
