Snap Inc. (20240303934). ADAPTIVE IMAGE PROCESSING FOR AUGMENTED REALITY DEVICE simplified abstract
Contents
ADAPTIVE IMAGE PROCESSING FOR AUGMENTED REALITY DEVICE
Organization Name
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
Simplified Explanation: The patent application describes adaptive image processing for an augmented reality (AR) device, where an input image captured by the device's camera is processed based on a determined region of interest associated with a tracked object.
- **Object Tracking System:** Utilizes object tracking parameters to determine the crop-and-scale order for image processing.
- **Dynamic Adjustment:** The crop-and-scale order can be dynamically adjusted between a first and second order based on the input image.
- **Output Image Generation:** The input image undergoes image processing to generate an output image for object tracking purposes.
Potential Applications: 1. Augmented reality applications for gaming and entertainment. 2. Enhanced object tracking in industrial settings for maintenance and inspection. 3. Medical imaging for surgical navigation and training.
Problems Solved: 1. Improved accuracy and efficiency in object tracking. 2. Enhanced user experience in AR applications. 3. Dynamic adaptation to varying input images for optimal processing.
Benefits: 1. Real-time object tracking with precise image processing. 2. Seamless integration of AR technology in various industries. 3. Enhanced visual experience for users.
Commercial Applications: Augmented reality devices for gaming, industrial maintenance, medical imaging, and training applications.
Questions about Adaptive Image Processing for AR Devices: 1. How does the dynamic adjustment of the crop-and-scale order improve object tracking accuracy? 2. What are the potential limitations of adaptive image processing in AR devices?
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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.
