Dual Camera Authentication with Differential Gamma Correction
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Solution Overview
Problem
Existing facial identification systems produce non-uniform results, especially for darker images and individuals with darker skin tones, due to uniform brightness/contrast correction, leading to inaccurate image processing and increased computational resource usage.
Innovation Solution
The use of two cameras, one applying gamma correction and the other not, to capture and process images independently, adjusting characteristics like color, brightness, and saturation, and automatically determining exposure to enhance image quality and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform brightness/contrast correction is applied to all images, then processing simplicity is maintained, but accuracy for darker images and darker skin tones deteriorates
Solution Approach 1:
The patent divides the image processing into separate streams: a first stream with gamma correction applied and a second stream without gamma correction. This segmentation allows different processing methods to be applied to different image types, resolving the contradiction between processing simplicity and accuracy for darker images.
Solution Approach 2:
The patent applies different correction characteristics to different parts of the image processing pipeline. The first camera/stream applies gamma correction specifically for darker images and darker skin tones, while the second camera/stream uses uniform correction. This local differentiation of processing quality resolves the contradiction.
2Measurement precision
If gamma correction is applied to all images, then accuracy for darker images improves, but computational resources and processing time increase
Solution Approach 1:
By segmenting images into two streams (with and without gamma correction), the system processes only the necessary subset of images through the more computationally intensive gamma correction path, rather than applying it universally to all images, thus reducing overall computational resources and processing time.
Solution Approach 2:
The system applies gamma correction partially - only to the first stream of images and only when needed for darker images and darker skin tones - rather than excessively applying it to all images. This partial action reduces computational overhead while maintaining accuracy where required.
3Measurement precision
If dual camera system with different gamma correction settings is used, then accuracy and uniformity across skin tones improves, but device complexity increases
Solution Approach 1:
The patent makes the dual camera system universal by using both cameras for the same primary function of capturing facial images for authentication. Both cameras serve multiple purposes: the first camera provides gamma-corrected images for darker skin tones, the second camera provides uniform correction images, and together they handle diverse lighting and skin tone conditions, justifying the added complexity through enhanced functionality.
Data Source
AI summary
Methods, systems, and computer-readable storage media for verification of identity of individuals based on images obtained by two cameras. A first stream of images of an individual are obtained from a first camera. Gamma correction is applied to images of the first stream of images. A second stream of images of the individual is obtained simultaneously with the first stream of images from a second camera, where gamma correction is not applied to images of the second stream of images. An identity of the individual is verified by providing the first stream of images and the second stream of images for independent automated matching with an authentication image. The authentication image is an image of the individual from a verified source.