What is 3D computer vision?

three -dimensional (3D) computer vision is a way of using cameras that allows computers to imitate human vision to create a 3D image. Thanks to 3D computer vision, the computer uses two cameras at the same time - just like a person uses two eyes - to create an image with a depth. In addition to using 3D images and movies with 3D computer vision, it often uses robotics, allowing robots to capture real 3D environments. One of the main problems in the development of this system was to ensure that the cameras were properly aligned, but many systems improve this technique. This method also makes 3D technology cheaper for the consumer market because expensive image processors are not obliged to create a 3D image.

For 3D computer vision, the computer must use two different cameras as people use two eyes. Both cameras record or capture the environment from different angles, allowing the computer to use an algorithm to mix imagon and form the depth of the actualof life. Computers are also able to capture 3D images in real time without having to capture a lot between capture and 3D building. As a result, 3D computer vision is useful for markets with games, film and recording.

In addition to using 3D computer vision for creating images and movies, this method is often used in robotics, especially with robots made to move and interact with the environment. By using both cameras, the robot is able to understand the depth of the environment, so it is adept at work with other objects and overcomes physical obstacles such as gaps and bumps. Robotic movement is also smoother because of this understanding of depth.

The main problem in creating 3D computer vision was the matching of two cameras to function like eyes. Many initial systems using this technology could not align cameras, so you imagine a blurred or combined in an incoherent way. Since 2011 the oneThis has overcome many systems and some are available to consumers.

before 3D computer visions, there were 3D images that could perform the same task of taking pictures and combinations to create depth. The main problem of this technique is that images processors are expensive, so they are largely inaccessible to the consumer market. The cost is not such a big problem for 3D computer vision, because the process of combination of images is quite simple. This allows the consumer market to use 3D technology without a large price.