Multi-Camera Image Processing with Dynamic Power Mode Switching
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Solution Overview
Problem
Current technologies for processing images in virtual reality, such as panoramic and omnidirectional images, face challenges in efficiently generating and combining images from multiple cameras to create comprehensive 2D and 3D views, particularly in terms of power management and image processing efficiency.
Innovation Solution
An electronic device with multiple camera groups and processors is designed, where each camera group has a specific field of view, and a designated processor controls the image processing modes, allowing for the selection of operation modes to acquire and combine images effectively, optimizing power usage and image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cameras and processors are used to generate comprehensive 2D and 3D views, then image processing capability and view coverage are improved, but power consumption and system complexity increase
Solution Approach 1:
The system dynamically switches between first and second operation modes based on processing needs. In the first mode, the first processor handles all image processing for both camera groups. In the second mode, the second processor actively processes images from the second camera group. This dynamic adaptation allows the system to optimize power consumption by activating additional processing resources only when comprehensive 3D view generation is required, rather than maintaining full capability continuously
Solution Approach 2:
The first processor is designed to perform multiple functions: it can process images from both the first and second camera groups when operating in the first operation mode. This multi-functionality allows the system to reduce power consumption by consolidating processing tasks into a single processor when full 3D capability is not needed, while still maintaining the ability to generate comprehensive views when required
2Area of stationary object
If multiple cameras with different fields of view are used, then coverage area and image comprehensiveness are improved, but device complexity increases
Solution Approach 1:
The camera system is divided into two distinct camera groups, each with specific field of view characteristics. The first camera group captures images in a first direction with a first field of view, while the second camera group captures images in a second direction with a second field of view. This segmentation allows each camera group to be optimized for its specific function, simplifying the overall system design while achieving comprehensive coverage through coordinated operation of the segmented groups
Solution Approach 2:
Images from the first and second camera groups are merged and combined to generate comprehensive 2D and 3D views. The processing system integrates the image data from both camera groups, combining their respective field of view coverage to create a unified comprehensive view that exceeds what either camera group could achieve independently, thereby justifying the increased system complexity through enhanced functional output
3Reliability
If images from multiple camera groups are combined, then image comprehensiveness and 3D view quality are improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary image processing within each camera group before combining results. The first processor processes images from the first camera group, and the second processor processes images from the second camera group, preparing them in advance for combination. This preliminary action reduces the computational load during the final combining stage, thereby reducing overall processing time while maintaining comprehensive image quality
Data Source
AI summary
An electronic device is provided. The electronic device includes a first camera group including a first camera disposed in a first optical axis direction and a second camera disposed in a second optical axis direction, and having a first field of view (FOV), a second camera group including a third camera disposed in a third optical axis direction and a fourth camera disposed in a fourth optical axis direction, and having a second FOV covering an area at least partially different from an area covered by the first FOV, a first processor configured to process images acquired through the first camera group, a second processor configured to process images acquired through the second camera group, and a designated processor configured to control the first processor and the second processor.