Patent attributes
A method including capturing a first image of a real-world scene by a first camera sensitive to a first spectrum of light, the first camera having a first light source, capturing a second image of the real-world scene by a second camera sensitive to a second spectrum of light, the second camera having a second light source, identifying at least one feature in the first image, identifying, using a machine learning (ML) model, at least one feature in the second image that matches the at least one feature identified in the first image, mapping pixels in the first image and the second image to rays in a three-dimensional (3D) space based on the matched at least one feature, and calibrating the first camera and the second camera based on the mapping.