View source for 18087322. THREE-DIMENSIONAL (3D) COMPRESSIVE SENSING BASED EYE TRACKING simplified abstract (Meta Platforms Technologies, LLC)

=THREE-DIMENSIONAL (3D) COMPRESSIVE SENSING BASED EYE TRACKING=


==Organization Name==

[[:Category:Meta Platforms Technologies, LLC|Meta Platforms Technologies, LLC]]


[[Category:Meta Platforms Technologies, LLC]]

==Inventor(s)==

[[:Category:Yatong An of Redmond WA (US)|Yatong An of Redmond WA (US)]][[Category:Yatong An of Redmond WA (US)]]

[[:Category:Youmin Wang of Bellevue WA (US)|Youmin Wang of Bellevue WA (US)]][[Category:Youmin Wang of Bellevue WA (US)]]

[[:Category:Zhaoyu Nie of Kenmore WA (US)|Zhaoyu Nie of Kenmore WA (US)]][[Category:Zhaoyu Nie of Kenmore WA (US)]]

==THREE-DIMENSIONAL (3D) COMPRESSIVE SENSING BASED EYE TRACKING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18087322 titled 'THREE-DIMENSIONAL (3D) COMPRESSIVE SENSING BASED EYE TRACKING

'''Simplified Explanation:'''
The patent application describes a 3D eye tracking system using SPAD sensors and active encoded illumination to achieve high-resolution depth measurement.

'''Key Features and Innovation:'''
* Utilizes low-resolution SPAD sensors and active encoded illumination for high-resolution depth measurement.
* Projects patterns onto the eye's surface using high-speed illuminators like DMD or MEMS projectors.
* Employs compressive sensing techniques to obtain high-resolution images and depth information.

'''Potential Applications:'''
This technology can be used in:
* Medical imaging for ophthalmology.
* Virtual reality and augmented reality systems.
* Biometric security applications.

'''Problems Solved:'''
* Achieving high-resolution depth measurement with low-resolution sensors.
* Enhancing eye tracking accuracy and precision.
* Improving imaging quality in various applications.

'''Benefits:'''
* High-resolution depth measurement.
* Enhanced accuracy in eye tracking.
* Versatile applications in different fields.

'''Commercial Applications:'''
The technology can be applied in industries such as:
* Healthcare for diagnostic purposes.
* Entertainment for immersive experiences.
* Security for biometric identification systems.

'''Prior Art:'''
Prior research in the field of eye tracking systems using SPAD sensors and active illumination techniques can be found in academic journals and conference papers.

'''Frequently Updated Research:'''
Stay updated on the latest advancements in compressive sensing techniques and SPAD sensor technology for eye tracking applications.

'''Questions about 3D Compressive Sensing Based Eye Tracking System:'''
1. How does the use of compressive sensing techniques improve depth measurement in eye tracking systems?
2. What are the potential limitations of using SPAD sensors in this technology?

'''Question 1:'''
How does the use of compressive sensing techniques improve depth measurement in eye tracking systems?

'''Answer 1:'''
Compressive sensing allows for high-resolution depth measurement by reconstructing detailed images from sparse data, reducing the need for high-resolution sensors and increasing efficiency in capturing depth information.

'''Question 2:'''
What are the potential limitations of using SPAD sensors in this technology?

'''Answer 2:'''
SPAD sensors may have limitations in terms of sensitivity and noise levels, which can affect the accuracy and reliability of depth measurements in the eye tracking system. Ongoing research aims to address these challenges and improve sensor performance.


==Original Abstract Submitted==

A three-dimensional (3D) compressive sensing based eye tracking system using single photon avalanche diode (SPAD) sensors achieves high resolution depth measurement by using low resolution SPAD sensors and active encoded illumination such as two- or three-dimensional fringe patterns, random speckles, random patterns, and/or superimposed patterns projected onto a surface of an eye. The patterns may be projected by high speed illuminators such as a digital micromirror device (DMD) or micro-electromechanical system (MEMS) projector in series changing at the same rate as the SPAD sensor capture rate. A processor may employ compressive sensing techniques to obtain a high resolution image and depth information from the captured images of varying patterns.



[[Category:H01S5/42]]
[[Category:G01B11/25]]
[[Category:CPC_H01S5/423]]