Multi-Camera Orientation Adaptation for Stereoscopic Capture
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Solution Overview
Problem
Current camera systems in electronic devices, such as smartphones and tablets, face challenges in efficiently generating stereoscopic images due to the limited configuration of cameras and orientations, which restrict the capture of stereoscopic images to specific device orientations.
Innovation Solution
The implementation of a system with three cameras positioned on the same side of the device, where the controller identifies the device's orientation and enables pairs of cameras to capture stereoscopic images based on specific alignments, allowing for stereoscopic image generation at different orientations by disabling non-aligned cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If two cameras are used for stereoscopic image capture, then the device complexity is reduced, but the stereoscopic image capture is restricted to specific device orientations only
Solution Approach 1:
The camera system is segmented into multiple camera modules (at least three cameras) positioned at different orientations. Each camera or camera pair is responsible for capturing images at specific orientations, allowing the system to handle multiple orientations through segmentation of capture functions across different camera units.
Solution Approach 2:
The camera system is designed with multi-functionality to capture stereoscopic images at various device orientations (portrait, landscape, and intermediate orientations). By incorporating cameras at different angular positions and implementing intelligent selection logic, the system achieves universal stereoscopic capture capability across all orientations without requiring separate dedicated systems for each orientation.
2Adaptability or versatility
If cameras are spaced apart for stereoscopic capture, then the depth perception is improved, but the device area increases
Solution Approach 1:
The camera arrangement utilizes angular/directional dimension by positioning cameras at different orientations (e.g., 0 degrees, 45 degrees, 90 degrees) rather than only linear spacing. This angular dimensionality allows the system to achieve stereoscopic depth perception while maintaining a compact device footprint, as cameras are distributed around a corner or edge rather than spread linearly across the device surface.
Data Source
AI summary
Methods and devices for generating a stereoscopic image are described. In one aspect, the electronic device includes a first camera for generating first camera data, a second camera for generating second camera data and a third camera for generating third camera data. The cameras are positioned on a same side of the electronic device and in spaced relation to each other. The electronic device also includes a controller coupled with the first camera, the second camera and the third camera. The controller is configured to: identify an orientation of the electronic device; and generate a stereoscopic image based on the first camera data and the second camera data when the electronic device is at a first orientation, and generate the stereoscopic image based on the first camera data and the third camera data when the electronic device is at a second orientation.