Foldable Dual-Camera Multi-View Imaging With Depth-Based Hinge Control
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Solution Overview
Problem
Foldable imaging devices face challenges in capturing high-quality multi-view images due to the need for precise alignment and adjustment of multiple cameras, which is not adequately addressed by existing signal-processing techniques.
Innovation Solution
The device employs a foldable design with dual cameras on opposing inner surfaces, determining depth based on image data from both cameras to adjust the angle between housing portions, enabling improved image capture and generation of multi-view images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cameras are used on opposing surfaces of a foldable device, then multi-view image capture capability is improved, but alignment precision between cameras deteriorates due to housing angle variations
Solution Approach 1:
The patent implements dynamic adjustment of the housing angle between first and second portions of the foldable device based on detected object depth. The system automatically modifies the relative positioning of cameras mounted on opposing surfaces to maintain optimal alignment precision across varying depths, thereby resolving the contradiction between maintaining versatility for multi-view capture and ensuring measurement precision for camera alignment.
Solution Approach 2:
The system changes the physical parameter of housing angle dynamically in response to object depth variations. By adjusting this geometric parameter, the patent maintains precise camera alignment for accurate depth measurement while preserving the multi-view imaging capability across different shooting scenarios.
2Measurement precision
If the housing angle is adjusted based on object depth, then image alignment and depth perception are improved, but device complexity increases due to additional control mechanisms
Solution Approach 1:
The patent implements a self-service control mechanism where the device automatically detects object depth and autonomously adjusts its own housing angle without requiring external intervention or complex manual controls. The system uses its existing sensors and processors to self-regulate the camera alignment, thereby improving image alignment precision while minimizing the addition of external control complexity.
Solution Approach 2:
The system employs feedback control by continuously monitoring object depth through image processing and using this information to automatically adjust the housing angle. This closed-loop feedback mechanism ensures precise image alignment while keeping the control system relatively simple, as it leverages the device's existing computational resources rather than requiring dedicated complex control hardware.
3Manufacturing precision
If automatic signal processing techniques are applied, then image quality is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-calculating and storing optimal housing angle adjustments for various depth ranges, and by pre-processing image data to extract depth information more efficiently. This allows the system to apply automatic signal processing techniques that enhance image quality while reducing real-time processing time through prepared lookup tables and optimized algorithms.
Data Source
AI summary
Methods, systems, and apparatuses are provided to automatically adjust the position of image sensors, and generate a multi-view image based on image data captured from the image sensors. For example, an image capture device includes a housing comprising a first housing portion and a second housing portion, with a first sensor coupled to the first housing portion, and a second sensor coupled to the second housing portion. A coupling device, such as a hinge, couples the first housing portion to the second housing portion. The image capture device obtains image data from the first sensor and the second sensor, and determines an object depth based on the obtained image data. The image capture device outputs an adjusted angle based on the object depth, and obtains additional image data from the first and second sensors. The image capture device generates the multi-view image based on the additional image data.