3D Visualization System with Dynamic Camera Adjustment
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Solution Overview
Problem
Surgeons face challenges in maintaining optimal 3D visualization during long surgical procedures due to varying system configuration parameters, leading to eye fatigue and potential stereo blindness, as existing stereoscopic visualization systems fail to dynamically adjust for individual surgeon's anatomical abilities and operating theater settings.
Innovation Solution
A 3D visualization system that includes first and second cameras and a control computer, which adjusts inter-camera distance and convergence angle based on user preferences, surgical instrument position, and operating theater parameters to optimize 3D imagery for individual surgeons, using keystone correction and motorized mechanisms for real-time adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the inter-ocular separation and convergence angle are fixed at optimal values, then the 3D depth effect is maximized, but the system cannot adapt to different surgeons' anatomical abilities and viewing conditions, causing eye fatigue during long procedures
Solution Approach 1:
The system dynamically adjusts the inter-ocular separation and convergence angle based on real-time input from depth perception sensors and user feedback, transforming fixed parameters into adaptive variables that respond to individual surgeon needs and anatomical differences
Solution Approach 2:
The system changes the optical parameters (inter-ocular separation distance and convergence angle) based on measured depth perception capabilities of individual surgeons, allowing customization of the 3D visualization to match each user's anatomical characteristics and reduce eye fatigue
2Reliability
If the inter-ocular separation is increased to enhance 3D depth effect, then the 3D perception is improved, but the system may cause eye fatigue and stereo blindness in surgeons with convergence challenges
Solution Approach 1:
The system incorporates depth perception sensors and user feedback mechanisms that continuously monitor surgeon comfort and adjust the inter-ocular separation and convergence angle to maintain optimal 3D perception while preventing eye fatigue and stereo blindness
Solution Approach 2:
The system adjusts the inter-ocular separation parameter based on individual surgeon characteristics and real-time feedback, optimizing the 3D depth effect while staying within safe limits to prevent harmful effects like eye fatigue and stereo blindness
3Ease of operation
If the system is customized for individual surgeon preferences and anatomical abilities, then viewing comfort is improved, but the system complexity and calibration requirements increase
Solution Approach 1:
The system performs automatic calibration by measuring the surgeon's depth perception capabilities through integrated sensors and algorithms, eliminating the need for manual configuration and reducing the complexity of setup while maintaining personalized optimization
Solution Approach 2:
The system automatically determines and adjusts optimization parameters based on measured surgeon characteristics, replacing complex manual calibration procedures with automated parameter selection that simplifies the user interface and setup process
Data Source
AI summary
A system for producing 3D video using first and second cameras on first and second axes. The second camera has a field of view (FOV) overlapping with the first camera's FOV. The second axis is at a convergence angle relative to the first axis. A control computer changes the inter-camera distance by effectively moving the second camera laterally, and changes convergence angle by effectively rotating the second camera. The control computer automatically calculates the inter-camera distance and convergence angle based on the distance of a user to the display screen, working distance of the cameras, zoom settings, and size of the screen, and effectively moves the second camera accordingly. A keystone correction is performed to account for the camera projections, the frames are rotationally aligned, and the corrected/aligned frames are combined to produce a 3D image frame that is displayed on a 3D display screen.