Stereoscopic Image Depth Adjustment Using IPD-Based Disparity
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Solution Overview
Problem
Existing stereoscopic display technologies fail to provide consistent depth perception for users with varying interpupillary distances (IPDs), leading to differing perceived depths among individuals.
Innovation Solution
A method and device that adjust the depth of stereoscopic images by calculating and applying disparity correction amounts based on interpupillary distances and camera/display parameters to align the perceived depth for users with different IPDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a stereoscopic display uses fixed disparity parameters, then the device complexity is low, but users with different IPDs perceive different depths
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting disparity correction amounts based on user-specific parameters (IPD, camera baseline, image distance). The system calculates different disparity values for each user to ensure consistent depth perception across varying IPDs, transforming a fixed-parameter system into an adaptive one.
Solution Approach 2:
The system implements feedback by using the user's IPD measurement and camera parameters to calculate appropriate disparity correction amounts. This closed-loop approach ensures that the displayed stereoscopic image compensates for individual anatomical differences, maintaining depth consistency through iterative adjustment based on measured parameters.
2Reliability
If disparity correction amounts are calculated for each user, then depth perception consistency improves, but the calculation complexity and processing time increase
Solution Approach 1:
The system performs preliminary action by pre-calculating disparity correction amounts based on stored user parameters (IPD, camera baseline, image distance). These corrections are prepared in advance and applied during display, avoiding real-time calculation delays while maintaining accuracy for each user.
Solution Approach 2:
The patent uses copying by storing user-specific parameters (IPD, camera baseline, image distance) and reusing them to generate disparity corrections. Instead of recalculating from scratch each time, the system copies and applies pre-determined correction values that match the user's anatomical characteristics.
3Adaptability or versatility
If the system stores detailed user parameters for disparity correction, then the adaptability to different users improves, but the data storage requirements increase
Solution Approach 1:
The system applies universality by using a standardized set of parameters (IPD, camera baseline, image distance) that serve multiple functions: identifying the user, calculating disparity corrections, and adjusting display parameters. This universal parameter set reduces storage requirements compared to storing separate correction values for every possible scenario.
Data Source
AI summary
A method for adjusting a depth of a stereoscopic image includes the following. A first disparity correction amount is obtained according to a distance between centers of two lenses of a stereoscopic camera and an interpupillary distance (IPD) of a first observer. A second disparity correction amount is obtained according to a difference between image distances of a stereoscopic display and the stereoscopic camera at zero disparity. A third disparity correction amount is obtained according to the IPD of the first observer and an IPD of a second observer. A stereoscopic image of an object photographed by the stereoscopic camera which has been corrected by the first disparity correction amount, the second disparity correction amount, and the third disparity correction amount is transmitted to the stereoscopic display. A device for adjusting a depth of a stereoscopic image is also provided.


