AR Glasses Movement-Guided Image Cropping for Lower Processing Load
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Solution Overview
Problem
XR glasses require high-speed image processing to reflect real-time changes in the real space, but hardware limitations impose computational constraints.
Innovation Solution
An information processing apparatus that acquires movement and image information, crops partial images based on movement, and performs image processing on these partial images to reduce computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image processing is performed on the entire captured image, then processing completeness is maintained, but computational load increases excessively
Solution Approach 1:
The patent divides the captured image into multiple regions of interest (ROIs) based on user movement information. Instead of processing the entire image, the system segments the image and selectively processes only the relevant portions, thereby reducing computational load while maintaining processing efficiency for the areas that matter.
Solution Approach 2:
The patent applies different processing strategies to different regions of the image. By identifying regions of interest through user movement tracking, the system applies high-quality processing to those specific local areas while using lighter processing for other regions, optimizing the balance between processing quality and computational resources.
2Speed
If high-speed processing is performed to reflect real-time space changes, then service responsiveness improves, but hardware computational resources are exhausted
Solution Approach 1:
The patent performs preliminary actions by pre-identifying regions of interest and pre-calculating processing priorities based on user movement patterns. This allows the system to prepare processing tasks in advance and execute them efficiently, achieving high-speed processing without exhausting computational resources on unnecessary areas.
Solution Approach 2:
The patent applies partial action by processing only the necessary portions of the image rather than the entire image. This selective processing approach enables high-speed response for critical regions while conserving computational resources that would otherwise be wasted on processing the complete image.
3Measurement precision
If the entire captured image is processed, then all visual information is analyzed, but processing time increases
Solution Approach 1:
The patent extracts only the necessary information from the captured image by identifying and processing specific regions of interest. This extraction approach maintains measurement precision for the areas that contain relevant visual information while significantly reducing processing time compared to analyzing the entire image.
Solution Approach 2:
The patent dynamically adjusts the processing scope based on real-time user movement information. As the user's gaze or head position changes, the system dynamically updates which regions need processing, ensuring that processing time is optimized while maintaining completeness of analysis for the currently relevant visual information.
Data Source
AI summary
A mobile apparatus includes a first acquirer, a first generator and an image processor. The first acquirer acquires (i) movement information about movement of a user to which a pair of AR glasses is mounted at the user's head, and (ii) image information indicating an image captured by a first image capture device mounted to the pair of AR glasses. The first generator controls a position in the captured image, at which the captured image is partially cropped, in accordance with the movement information; and generates, by controlling the position in the captured image, a partial image cropped from the captured image. The image processor performs image processing on the partial image.