Image Processing Device for Compound Eye Camera Alignment
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Solution Overview
Problem
Existing image processing systems face challenges in accurately and efficiently resizing and aligning multiple images captured under different conditions, particularly in compound eye cameras, where determining the positional relationship between images is time-consuming and power-intensive, especially when images of varying subject sizes are involved.
Innovation Solution
An image processing device that acquires focal length and pixel information from multiple imaging systems to calculate a resizing ratio, allowing for precise resizing and alignment of images, reducing processing time and power consumption by determining the correct subject sizes and performing alignment only when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If alignment process is performed each time multiple continuously captured images are acquired, then alignment precision is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic alignment by determining whether alignment processing is necessary based on changes in imaging conditions (focal length, subject distance, image size) before performing alignment. This conditional periodic execution reduces unnecessary processing and power consumption while maintaining alignment precision when needed.
Solution Approach 2:
The patent performs preliminary determination of whether alignment is necessary by comparing imaging conditions (focal length, subject distance, image size) before executing the actual alignment process. This preliminary check prevents unnecessary alignment operations and reduces power consumption.
2Measurement precision
If image sizes of subject are different and cannot be ascertained, then multiple image sizes must be set as alignment targets, but processing time increases
Solution Approach 1:
The patent calculates the image size of the subject in advance using the formula: image size = (focal length × sensor size) / (subject distance × 1000). This preliminary calculation determines the correct image size before alignment, eliminating the need to test multiple sizes and reducing processing time.
Solution Approach 2:
The patent replaces trial-and-error mechanical alignment methods with a calculation-based system that uses optical parameters (focal length, subject distance, sensor size) to determine the correct image size mathematically, significantly reducing processing time.
3Adaptability or versatility
If multiple images are combined with different imaging conditions, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent handles different imaging conditions by changing processing parameters (focal length, subject distance, image size) rather than requiring complex hardware modifications. The system adapts to various conditions through parameter-based calculations and conditional processing.
Solution Approach 2:
The patent creates a universal alignment processing system that can handle multiple imaging conditions (different focal lengths, subject distances, image sizes) through a single integrated approach using standard calculations and conditional logic.
Data Source
AI summary
An image processing device acquires the image data from each imaging device and acquires information on a focal length and the number of pixels of each imaging device. The image processing device ascertain a size relationship of a subject shown in a plurality of pieces of image data on the basis of the acquired information, performs resizing so that subject images have the same size, and executes an alignment process.