Intel Corporation

Kalyan K Kaipa

Sagar C Pawar

Ravindra A Babu

Sashank Ms

Satyanantha Ramagopal Musunuri

Sameer Kp

Vijayakumar Balakrishnan

Rajesh Poornachandran

Niveditha Sundaram

Gomathi Ramamurthy

Ryan D Saffores

Satyanantha R Musunuri

When the speed of head movement exceeds the processing capability of the system, a reduced depiction is displayed. As one example, the resolution may be reduced using coarse pixel shading in order to create a new depiction at the speed of head movement. In accordance with another embodiment, only the region the user is looking at is processed in full resolution and the remainder of the depiction is processed at lower resolution. In still another embodiment, the background depictions may be blurred or grayed out to reduce processing time.

Compensating for high head movement in head-mounted displays

Systems, apparatuses and methods may provide for technology that includes a substrate, and a display pipeline coupled to the substrate. The display pipeline may to barrel an initial image to form a barreled image.

Barreling and compositing of images

Systems, apparatuses and methods may provide for technology that includes a microcontroller to control a workload of a graphics processor, to determine if at least one predetermined condition is met, and instruct, if the at least one predetermined condition is met, the graphics processor to transform an initial frame into an intermediate frame.

Intermediate frame generation

Systems, apparatuses and methods may provide for technology that includes a substrate, and a display pipeline coupled to the substrate. The display pipeline may barrel an initial image to form a barreled image. In one example, the display pipeline further performs chromatic correction of the initial image.

Methods, apparatus, and machine-readable mediums are described for doing predictive content branch selection for rendering environments such as virtual reality systems. User data is aggregated from multiple users. Each user is classified based upon the user data. Personalization parameters are identified for each of the plurality of users. Content to be presented is determined and modified with a modification for a user based upon the personalization parameters for the user. The modified content is sent to the user.

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Bengaluru, India

Kalyan K Kaipa