Image Sensor Object Detection with Region-Based Size Correction
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Solution Overview
Problem
Image sensor-based motion detection systems face performance degradation due to lens distortion, requiring extensive computation for image correction and compromising accuracy.
Innovation Solution
An electronic device equipped with an image sensor and a processor that detects object movement, corrects object size values based on location within the image using region-specific correction coefficients, and performs operations accordingly, without correcting the distorted image itself.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image correction is performed to prevent performance degradation from lens distortion, then object detection accuracy is improved, but computational complexity and processing time increase significantly
Solution Approach 1:
The patent divides the image into multiple regions based on distortion characteristics, applying different correction coefficients to each region. This segmentation approach allows selective correction only where needed, reducing overall computational complexity while maintaining detection accuracy in critical areas.
Solution Approach 2:
The patent applies local quality by using region-specific correction coefficients rather than uniform correction across the entire image. Each region receives customized correction based on its distortion characteristics, improving accuracy locally without the computational burden of correcting the entire image uniformly.
2Reliability
If full image correction is applied to compensate for lens distortion, then sensing performance is maintained, but processing time becomes excessive
Solution Approach 1:
The patent applies partial correction by selectively correcting only specific regions of the image that contain objects of interest, rather than correcting the entire image. This partial action maintains sensing performance for detected objects while significantly reducing processing time compared to full image correction.
Solution Approach 2:
The patent performs preliminary identification of object locations and regions of interest before applying correction. By pre-identifying where correction is needed, the system avoids unnecessary processing of irrelevant areas, thereby maintaining sensing performance while reducing overall processing time.
3Measurement precision
If image correction is performed to account for lens distortion, then detection accuracy is improved, but the complexity of the processing system increases
Solution Approach 1:
The patent changes parameters by using simplified region-based correction coefficients instead of complex pixel-level correction algorithms. This parameter change approach maintains detection accuracy through targeted corrections while reducing processing system complexity by avoiding computationally intensive universal correction methods.
Data Source
AI summary
According to various embodiments of the disclosure, an electronic device may include an image sensor and a processor. The processor may be configured to detect a movement of an object, using an image generated by the image sensor, to identify a size value of the object, to correct a size value of the object based on a location of the object within the image, and to perform an operation corresponding to a movement of the object, based on the corrected size value.