Figure 1. Diagram of Complex Vision Acquisition Algorithm. By using an iterative process to find and compare these parameters to the existing background template, all objects in a camera field of ...

Having gathered this data, the team used 6,000 of the images to train their machine-vision algorithm. They use a further 200 images to fine-tune the machine-vision parameters.

Machine-vision algorithms can also do tasks such as copy and paste artistic style from one image to another, add color to grayscale images accurately, and transform low-resolution images into high ...

They’ve created an algorithm that uses machine vision and learning, plus big data, to “look” at thousands of paintings and determine which are the most creative and innovative.