Meta platforms technologies, llc (20240126381). TRACKING A HANDHELD DEVICE simplified abstract
Contents
- 1 TRACKING A HANDHELD DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRACKING A HANDHELD DEVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
TRACKING A HANDHELD DEVICE
Organization Name
meta platforms technologies, llc
Inventor(s)
Hemanth Korrapati of Maple Valley WA (US)
Kevin Joseph Sheridan of Redwood City CA (US)
Zachary Jeremy Taylor of Olten (CH)
Andrew Melim of Seattle WA (US)
Sheng Shen of Shoreline WA (US)
TRACKING A HANDHELD DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126381 titled 'TRACKING A HANDHELD DEVICE
Simplified Explanation
The abstract describes a computer-implemented method for generating a six degrees of freedom (6DOF) pose estimation for a handheld device using image processing, sensor data, and map-based estimation.
- Accessing an image captured by cameras associated with the computing device
- Generating a cropped image of the hand or handheld device from the original image
- Estimating the 6DOF pose of the handheld device using vision-based processing, metadata, and sensor data
- Generating a map-based 6DOF pose estimation using the handheld device
- Combining the vision-based and map-based estimations to generate a final 6DOF pose estimation for the handheld device
Potential Applications
This technology can be applied in augmented reality (AR) applications, virtual reality (VR) experiences, indoor navigation systems, and gesture-based interactions.
Problems Solved
This technology solves the problem of accurately estimating the position and orientation of a handheld device in real-time, which is crucial for immersive AR/VR experiences and precise indoor navigation.
Benefits
The benefits of this technology include improved user experience in AR/VR applications, enhanced accuracy in indoor navigation systems, and more natural and intuitive gesture-based interactions.
Potential Commercial Applications
- AR/VR gaming
- Indoor navigation apps
- Gesture-controlled devices
Possible Prior Art
One possible prior art could be existing methods for pose estimation using computer vision techniques and sensor data fusion in AR/VR applications.
Unanswered Questions
How does this technology handle occlusions in the environment?
The abstract does not mention how the system deals with occlusions in the environment that may affect the accuracy of the pose estimation.
What is the computational overhead of this method?
The abstract does not provide information on the computational resources required to implement this method and its impact on the overall performance of the system.
Original Abstract Submitted
a computer-implemented method, comprising accessing an image comprising a handheld device, wherein the image is captured by one or more cameras associated with the computing device, generating a cropped image that comprises a hand of a user or the handheld device from the image by processing the image, generating a vision-based six degrees of freedom (6dof) pose estimation for the handheld device by processing the cropped image, metadata associated with the image, and first sensor data from one or more sensors associated with the handheld device, generating a map-based 6dof pose estimation using the handheld device, and generating a final 6dof pose estimation for the handheld device based on the vision-based 6dof pose estimation and the map-based 6dof pose estimation generated using the handheld device.
