Adaptive parameters in image regions based on eye tracking information

An image area, eye tracking technology, applied in the field of eye tracking, can solve the problems of long processing time, consumption of large computing resources, high power consumption, etc.

Active Publication Date: 2019-05-21
CTRL LABS CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In many cases, the process for rendering, encoding, and transmitting images for display to users can consume significant computing resources, especially when the images are of relatively high resolution, such as 1080p or 4K, or when the images are the frames that make up a video part of a sequence, such as a video file or scene generated by a game application
This can lead to undesired side effects such as higher power consumption and longer processing times

Method used

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  • Adaptive parameters in image regions based on eye tracking information
  • Adaptive parameters in image regions based on eye tracking information
  • Adaptive parameters in image regions based on eye tracking information

Examples

Experimental program
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Embodiment Construction

[0071] overview

[0072] There are many applications that involve the user and images where the user is gazing at different areas of the screen in succession. Examples include video games, virtual reality scenes, video streaming, and augmented reality projections.

[0073] When looking at the screen, the user's eyes are sensitive to higher resolution in the area of ​​the screen surrounding the gaze point. The fixation point is aligned with the fovea, the area of ​​the retina that provides the highest visual acuity and has the highest concentration of cones. In regions of the retina beyond the fovea, sensitivity to resolution decreases, and visual acuity decreases the further away from the fovea. In the parafovea (an annular region in the eye that bounds the fovea), the eye is still sensitive to resolution, but to a lesser extent than in the fovea. In regions outside the parafovea, the eye is significantly less sensitive to differences in resolution.

[0074] Where the im...

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Abstract

A display system divides a screen into regions and applies a different set of rendering / encoding parameters to each region. The system applies a first set of parameters to a first region that is beingviewed by a fovea of an eye of a user. The system may also apply a second set of parameters to a second region that is being viewed by a parafovea of the eye, and apply a third set of parameters to athird region that is being viewed by the area of the eye outside of the parafovea. The first set of parameters is selected to yield relatively high image quality, while the second set of parameters are yield intermediate quality, and the third set of parameters yield lower quality. As a result, the second region and the third region can be rendered, encoded, and transmitted with less computing power and less bandwidth.

Description

technical field [0001] The present invention relates generally to eye tracking, and more particularly to the use of adaptive parameters in image regions based on eye tracking information. Background technique [0002] Images are rendered, encoded, and displayed to users in a variety of different contexts. In many cases, the process for rendering, encoding, and transmitting images for display to users can consume significant computing resources, especially when the images are of relatively high resolution, such as 1080p or 4K, or when the images are the frames that make up a video Part of a sequence, such as when a video file or scene is generated by a gaming application. This can lead to undesired side effects such as higher power consumption and longer processing times. Contents of the invention [0003] The display system applies different sets of parameters to different image regions. The system receives eye tracking information for one or both eyes of a user viewing...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F3/147G09G5/14G09G2320/0693G09G2340/0407G06F3/013G09G2340/04H04N19/124H04N19/162H04N19/167H04N19/17G06V40/193G06V40/19G06T9/00G09G5/37G09G5/391
Inventor 马丁·亨里克·塔尔哈维尔·桑·阿古斯丁·洛佩斯拉斯穆斯·达尔
Owner CTRL LABS CORP
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