Snap inc. (20240303934). ADAPTIVE IMAGE PROCESSING FOR AUGMENTED REALITY DEVICE simplified abstract

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ADAPTIVE IMAGE PROCESSING FOR AUGMENTED REALITY DEVICE

Organization Name

snap inc.

Inventor(s)

Thomas Muttenthaler of Vienna (AT)

Kai Zhou of Wiener Neudorf (AT)

ADAPTIVE IMAGE PROCESSING FOR AUGMENTED REALITY DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240303934 titled 'ADAPTIVE IMAGE PROCESSING FOR AUGMENTED REALITY DEVICE

The patent application describes adaptive image processing for an augmented reality (AR) device.

  • An input image is captured by a camera of the AR device, and a region of interest is determined.
  • The region of interest is associated with an object being tracked using an object tracking system.
  • A crop-and-scale order for an image processing operation on the region of interest is determined.
  • Object tracking parameters may be used to determine the crop-and-scale order.
  • The crop-and-scale order is dynamically adjustable between a first and second order.
  • An output image is generated by performing the image processing operation according to the determined crop-and-scale order.
  • The output image can be accessed by the object tracking system to track the object.
      1. Potential Applications:

- Augmented reality gaming - Industrial maintenance and repair - Medical training and simulations

      1. Problems Solved:

- Enhances object tracking accuracy - Improves user experience in AR applications - Increases efficiency in image processing operations

      1. Benefits:

- Real-time object tracking - Customizable image processing - Enhanced AR experience for users

      1. Commercial Applications:

The technology can be utilized in various industries such as gaming, healthcare, and manufacturing for improved object tracking and augmented reality experiences.

      1. Questions about Adaptive Image Processing for an Augmented Reality (AR) Device:

1. How does adaptive image processing improve object tracking accuracy in AR devices? 2. What are the potential limitations of dynamically adjustable crop-and-scale orders in image processing operations?


Original Abstract Submitted

examples describe adaptive image processing for an augmented reality (ar) device. an input image is captured by a camera of the ar device, and a region of interest of the input image is determined. the region of interest is associated with an object that is being tracked using an object tracking system. a crop-and-scale order of an image processing operation directed at the region of interest is determined for the input image. one or more object tracking parameters may be used to determine the crop-and-scale order. the crop-and-scale order is dynamically adjustable between a first order and a second order. an output image is generated from the input image by performing the image processing operation according to the determined crop-and-scale order for the particular input image. the output image can be accessed by the object tracking system to track the object.

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