3d object rotation-based mechanical parts selection through 2d image processing

Abstract

Technologies are generally described for 3D object recognition through 2D image processing based on white balancing and object-rotation in machine vision systems. According to some examples, image recognition of an object captured with a camera under insufficient lighting may be achieved through white balancing. Processing cost reduction may be achieved in the learning process for image recognition through automatic generation of rotated 2D images of target objects to be detected, such as machine parts, from a small number of 2D images of a target object and generation of a 3D image of the target object from the rotated 2D images. Image recognition may thus be ensured even under insufficient lighting through execution of the image recognition process for multiple images and learning the successful recognition results. Some examples may be implemented in mechanical parts selection, where 2D images of the parts may be available beforehand.