Computer vision vs biologic vision

In the prior post I explained how the optical nerves carry the images that gets the eye from the retina to the brain (the vision of the left eye arrives to the right hemisphere and the right to the left), but the task of interpret the images that makes after the brain isn't trivial. It's the process that more resources use our brain, using practically the 40 % of the brain, making a lot of functions and very varied, for instance, interpret objects, textures, the distance between things, the 3D image from the information that receives both eyes, the direction of the movement, if there are movement, and create sharp images from several fuzzy images (these images can be captured by the eye with the modifying the crystalline and vibrating when the visibility isn't good), all at speed almost instantaneous. Simon Thorpe together the rest of the investigators of the centre for Brain and Cognitive Research (France), says that the brain interpret the reality with 150 milliseconds of delay.

That a present computer can do all of this in so few time is something impossible, for that, achieve that a robot sees as a human is an objective very far. However, there are algorithms in development to every one of the exposed problems previously and the majority of them aren't the sufficiently fast to give an answer in less than a second. When we will have faster algorithms, equivalents to the ones that use the brain and we will have the hardware that allows execute these algorithms in a short time, will be necessary combine all that information to achieve a robotic vision like the human vision.

When the obstacle of the processing time will be surpassed, the robotic vision could exceed the human, because could have cameras with more resolution and speed of image capture than the human eye.

Another important difference will be that probably the machine will not have the errors that produce our brain. The human brain has been adapted by evolution to usual situations that appears in the real world, to optimize the time required to process the images, for that reason our brain, sometimes, show us incorrectly the reality. This phenomenon is called optical illusion. We have several kinds (illumination and contrast, of movement, distortion of angles and geometries, 3D interpretation, colours, etc.). The scientific explanation to a lot of them but not to all, perhaps someday, the discoveries about these errors of the brain, will help to optimize the algorithms of the artificial vision.