Body-Part Image Alignment for Position-Adaptive Displays
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Solution Overview
Problem
Existing devices struggle with misalignment between the displayed image of a body part and the actual body part due to improper positioning, which detracts from the appearance of direct viewing in augmented or mixed reality environments.
Innovation Solution
The device adjusts the display of an image based on the relative position of the device to the body part by detecting misalignment and applying shifts, rotations, or scaling to align the image pixels with the actual body part position, using image sensors and processors to determine and correct the image display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the device displays an image of a body part without adjustment, then the display process is simple and fast, but the image becomes misaligned with the actual body part position
Solution Approach 1:
The system performs preliminary actions by capturing a reference image of the body part and calculating the transformation parameters (shift, rotation, scaling) before displaying the augmented reality image. This pre-computation ensures that when the image is displayed, it is already aligned with the actual body part position, resolving the alignment precision issue without adding complexity during the actual display moment.
Solution Approach 2:
The system uses feedback by comparing the position of body part pixels in the captured image with their expected positions in the display coordinate system. Based on this feedback, the system calculates correction parameters and adjusts the displayed image accordingly, ensuring accurate alignment while maintaining a relatively simple processing pipeline.
2Manufacturing precision
If the device captures and processes images in real-time to maintain alignment, then the image alignment is accurate, but the processing time and computational load increase
Solution Approach 1:
The system performs image capture and transformation parameter calculation as preliminary actions before the actual display. By pre-processing the reference image to determine shift, rotation, and scaling parameters, the system ensures accurate alignment while minimizing processing time during the critical display phase, thus resolving the time-loss contradiction.
3Manufacturing precision
If the device applies coordinate space transformations to align images, then the alignment accuracy improves, but the computational complexity increases
Solution Approach 1:
The system applies parameter changes by transforming coordinates from the image capture coordinate space to the display coordinate space using calculated transformation parameters (shift vector, rotation angle, scaling factor). This mathematical transformation ensures that pixels representing the body part are positioned accurately on the display relative to the actual body part, resolving the precision issue while keeping the implementation computationally manageable through standard coordinate transformation techniques.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods for adjusting display of an image based on device position. In some implementations, a device includes an image sensor, a display, a non-transitory memory and one or more processors coupled with the image sensor, the display and the non-transitory memory. In some implementations, a method includes obtaining a first image of a body part of a user of the device. In some implementations, the method includes capturing, via the image sensor, a second image of the body part. In some implementations, the method includes determining, based on the second image, a position of the body part relative to the device. In some implementations, the method includes generating an adjusted image by adjusting the first image based on the position of the body part relative to the device. In some implementations, the method includes displaying the adjusted image on the display.