Zero Disparity Plane Adjustment for 3D Video Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current feedback-based video technologies, such as video telephony and human-machine interfaces, lack the capability to effectively display three-dimensional video, which limits user engagement and interaction in real-time applications.
Innovation Solution
The techniques involve identifying a region of interest (ROI) based on pixel disparity in stereoscopically captured images and determining a zero disparity plane (ZDP) for the display of 3D images, allowing for automatic adjustment and presentation of 3D video with minimal user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If stereoscopic images are displayed without automatic ZDP adjustment, then 3D video can be displayed, but user engagement and interaction are limited due to lack of depth perception optimization
Solution Approach 1:
The system automatically identifies the region of interest and determines the zero disparity plane without requiring user input or adjustment. The processor autonomously analyzes pixel disparity data from stereoscopic images, identifies the ROI based on disparity characteristics, and sets the ZDP accordingly, enabling the system to self-optimize depth perception
Solution Approach 2:
The system dynamically adjusts the zero disparity plane parameter based on the identified region of interest. By changing the ZDP parameter to align with the ROI, the system optimizes depth perception for the most relevant content in the scene, enhancing user engagement without manual intervention
2Measurement precision
If manual ZDP adjustment is required for 3D video display, then depth perception can be optimized, but the process becomes complex and time-consuming
Solution Approach 1:
The system performs preliminary automatic identification of the region of interest and determination of the zero disparity plane before video display begins. By pre-processing the disparity analysis and automatically setting the ZDP, the system eliminates the need for time-consuming manual adjustment while maintaining high depth perception accuracy
Solution Approach 2:
The system uses pixel disparity information as feedback to automatically determine the appropriate zero disparity plane. By analyzing the disparity characteristics of different regions in the stereoscopic images, the system receives feedback about depth structure and automatically adjusts the ZDP to optimize depth perception for the identified region of interest
Data Source
AI summary
The techniques of this disclosure are directed to the feedback-based stereoscopic display of three-dimensional images, such as may be used for video telephony (VT) and human-machine interface (HMI) application. According to one example, a region of interest (ROI) of stereoscopically captured images may be automatically determined based on determining disparity for at least one pixel of the captured images are described herein. According to another example, a zero disparity plane (ZDP) for the presentation of a 3D representation of stereoscopically captured images may be determined based on an identified ROI. According to this example, the ROI may be automatically identified, or identified based on receipt of user input identifying the ROI.