Multiview Camera Capture With Dynamic Baseline Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multiview display technologies struggle to generate content tailored for a specific disparity level required by target multiview displays, leading to suboptimal viewing experiences.
Innovation Solution
A multiview camera system dynamically adjusts the inter-camera capture distance and other visual parameters to match a target camera baseline, optimizing the disparity level for the multiview display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiview content is captured using fixed camera positions, then the capture system is simple to operate, but the disparity level cannot be optimized for specific target displays
Solution Approach 1:
The camera system dynamically adjusts the inter-camera capture distance based on the target display's characteristics and the desired disparity level. This allows the system to adapt to different display requirements while maintaining ease of operation through automated control.
Solution Approach 2:
The system changes the capture distance parameter to optimize the disparity level for different target multiview displays. By adjusting this physical parameter, the system achieves adaptability without requiring complex operational procedures from the user.
2Adaptability or versatility
If the inter-camera capture distance is dynamically adjusted, then the disparity level is optimized for target displays, but the device complexity increases
Solution Approach 1:
The camera system automatically determines the optimal capture distance based on target display characteristics and scene parameters. This self-adjusting capability achieves disparity optimization without requiring manual intervention or complex external control systems.
Solution Approach 2:
The system uses feedback from target display characteristics and captured image analysis to automatically adjust the inter-camera distance. This closed-loop control achieves optimization while keeping the device structure relatively simple through intelligent automation.
3Manufacturing precision
If multiple visual parameters are adjusted to match target baseline, then the multiview content quality is improved, but the control complexity increases
Solution Approach 1:
The system pre-determines the target camera baseline based on the target multiview display characteristics before capturing content. This preliminary setup simplifies the control process by establishing reference parameters in advance, reducing the complexity of real-time multi-parameter adjustment.
Solution Approach 2:
The camera system is designed to handle multiple visual parameters (capture distance, field of view, focal length) through a unified control framework that references the target baseline. This multi-functional approach improves content quality while managing control complexity through integration.
Data Source
AI summary
Systems and methods are directed to a camera system configured to capture a multiview image of an object along an arc. Each camera in the camera system may correspond to a common field of view. In addition, a computing system coupled to the camera system may calculate a target camera baseline based on a first value and a second value, and dynamically adjust an inter-camera capture distance to match the target camera baseline. The first value may indicate the common field of view and the second value may indicate a distance between the camera system and the object.