Dual Sensor Stereo Imaging with Diversity Combine and Mismatch Compensation
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Solution Overview
Problem
Current mobile devices with dual sensors face challenges in efficiently capturing and processing high-quality stereo images and videos due to increased computational complexity, power consumption, and location mismatches between sensors, which affect the cost and performance of these devices.
Innovation Solution
A mobile device architecture with dual digital sensors, a diversity combine module, and an image processing module that combines and processes image data from both sensors to generate anaglyph images, while maintaining a fixed horizontal distance between sensors and optimizing power consumption by selectively turning off the secondary sensor in non-stereo mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dual digital sensors are used to capture stereo images and videos, then stereo image and video quality is improved, but computational complexity and power consumption increase
Solution Approach 1:
The patent divides the image processing task into distinct segments: the first digital sensor captures the left eye view, the second digital sensor captures the right eye view, and these are then combined through diversity combining techniques. This segmentation allows independent optimization of each sensor's processing while reducing overall computational complexity through specialized processing paths for stereo imaging.
Solution Approach 2:
The patent merges image data from two separate digital sensors through diversity combining, where the left and right eye views are combined to create a single stereo image or video output. This merging process is optimized to reduce computational complexity by leveraging the spatial relationship between sensors and applying efficient combination algorithms that minimize processing requirements.
2Measurement precision
If dual digital sensors are spaced apart to achieve proper stereo baseline, then stereo depth perception is improved, but location mismatches between sensors increase
Solution Approach 1:
The patent employs feedback mechanisms where the system continuously monitors and adjusts for location mismatches between the two digital sensors. By measuring the actual positions of the sensors and compensating for deviations from the ideal stereo baseline configuration, the system maintains accurate depth perception despite manufacturing tolerances and assembly variations.
Solution Approach 2:
The patent dynamically adjusts processing parameters based on the actual spatial relationship between sensors. By changing parameters such as horizontal shift amounts, scaling factors, and convergence points based on measured sensor positions, the system compensates for location mismatches and maintains optimal stereo depth perception across different device configurations.
3Measurement precision
If the secondary sensor is always on to capture stereo images, then stereo image quality is maintained, but power consumption increases
Solution Approach 1:
The patent implements dynamic sensor activation where the secondary digital sensor is turned on only when stereo imaging is required and turned off when single-view imaging suffices. This dynamic operation allows the system to adapt power consumption to actual usage requirements while maintaining stereo image quality when needed, creating a flexible power management strategy that responds to real-time operational demands.
4Adaptability or versatility
If dual digital sensors are used, then stereo functionality is added, but device cost increases
Solution Approach 1:
The patent designs the dual sensor system to perform multiple functions: capturing stereo images, capturing single-view images, and adapting to different operational modes. By making each sensor versatile and capable of operating independently or in combination, the system achieves stereo functionality without requiring dedicated hardware for each mode, thereby reducing overall device cost while maintaining adaptability.
Data Source
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AI summary
An apparatus comprising a first image sensor, a second image sensor spaced apart from the first image sensor, a diversity combine module to combine image data from the first and second image sensorsinto an anaglyph, and an image processing module configured to process combined image data from the diversity combine module and to perform a vertical mismatch compensation.