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Facebook, Inc (NASDAQ:FB) has today spoken about its DeepFovea AI and the latest advancement. According to the business guru, users will be impressed by its VR foveated rendering, which is going to be very efficient with power usage. This is set to become a massive transformation for VR, according to analysts. The technology involves the functioning of cameras inside headsets. These cameras can track the position of a user’s pupil quite fast. This then translates to the GPU quickly identifying where it exactly needs to focus and where it should skimp. 

A close outlook at foveated rendering

The foveated rendering is a better way to go as compared to the standard rendering. Its advantage arises from the performance perspective. This has to do with the power-saving capabilities of the GPU. The pupil must be able to view the finest details in the process. A power conservation strategy, which at the same time, enables a detailed view is preferred. The High-resolution gaming would work well with the foveated rendering. However, quite a small number of viewers will be willing to pay that extra dime to get the top-notch quality.

Foveated rendering and the VR headsets

Most people would appreciate a great experience in their fovea. Things seem to be changing quite fast with the dynamic technological advancements. Analysts believe that the foveated rendering is a major step forward towards the advancement of the various VR headsets.

Engineers working at Facebook seem quite determined and dedicated to making an impact. There are reports that they are currently working in the labs to develop DeepFovea.This happens to be an AI-supported alternative with the capacity to develop somehow feasible peripheral videos.

The social media giant says that the latest technological advancement on RGB video pulls along with almost 14 times compression. It is also impressive that there is quite a minimal degradation in the quality of what the user perceives.

In the instance of a video capture stream, the DeepFovea is only able to sample just 10% of the pixels available in each one of the video frames. That means that greater focus is on the part where the user focuses.

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