Skin Tone Exposure Capture Using Face Region Segmentation
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Solution Overview
Problem
Conventional photographic systems fail to capture high-quality images of individuals with very dark or very light skin tones due to insufficient contrast resulting from extreme skin tone dynamic ranges, leading to poor exposure settings.
Innovation Solution
A system and method that detect faces with threshold skin tones, segment the scene into face and non-face regions, and apply high dynamic range (HDR) capture and processing techniques to ensure correct exposure, using depth maps and texture maps to generate a final image with improved contrast and detail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If conventional scene level exposure settings are used, then overall scene capture is achieved, but skin tone contrast and detail are insufficient for extreme skin tones
Solution Approach 1:
The scene is segmented into face regions and non-face regions using face detection and depth map analysis. This allows separate exposure control for skin tone areas versus the rest of the scene, enabling optimized exposure settings for extreme skin tones without compromising overall scene capture.
Solution Approach 2:
Different exposure settings and processing techniques are applied to different regions of the image. Face regions with extreme skin tones receive specialized HDR processing and tone mapping, while non-face regions use conventional exposure settings, achieving local optimization of skin tone detail capture.
2Manufacturing precision
If high dynamic range capture is applied to the entire scene, then skin tone detail is improved, but overall scene processing complexity increases
Solution Approach 1:
HDR processing is applied selectively only to detected face regions rather than the entire scene. This segmentation approach maintains skin tone detail capture while reducing overall processing complexity by limiting computationally intensive operations to specific areas.
Solution Approach 2:
Full HDR processing is applied only to face regions where it is most needed, rather than uniformly across the entire scene. This partial application of HDR techniques optimizes the balance between skin tone detail capture and processing efficiency.
Data Source
AI summary
A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces are detected having threshold skin tone within a scene. Next, based on the detected one or more faces, the scene is segmented into one or more face regions and one or more non-face regions. A model of the one or more faces is constructed based on a depth map and a texture map, the depth map including spatial data of the one or more faces, and the texture map includes surface characteristics of the one or more faces. The one or more images of the scene are captured based on the model. Further, in response to the capture, the one or more face regions are processed to generate a final image.