Face Image Processing with Region-Specific Key Point Analysis
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Solution Overview
Problem
Current face image processing technologies face challenges in efficiently and effectively processing multiple faces within an image, particularly in distinguishing and separately processing non-overlapping regions of a face for beautification and other image enhancements.
Innovation Solution
A face image processing method and apparatus that performs face detection to obtain face region images and key point information, allowing for targeted processing of partially non-overlapping regions within a face image, using techniques such as neural network detection and standard face templates for accurate differentiation and enhancement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If face detection and key point information are obtained to enable targeted processing of non-overlapping regions, then the processing precision and naturalness of face beautification are improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent divides the face image into multiple non-overlapping regions based on detected key points (eyes, eyebrows, nose, mouth, chin). Each region is processed independently with region-specific parameters, enabling precise control over different facial features while maintaining overall face integrity.
Solution Approach 2:
The patent applies different processing qualities and parameters to different regions of the face. For example, skin smoothing is applied to non-skin regions while preserving skin texture in skin regions, and different beautification parameters are used for eyes, eyebrows, nose, mouth, and chin areas based on their specific characteristics.
2Reliability
If differentiated processing is applied to skin and non-skin regions, then the naturalness of the processed image is improved, but the device complexity and processing overhead increase
Solution Approach 1:
The patent segments the face image into skin regions and non-skin regions using the detected key points as boundaries. This segmentation enables applying different processing strategies to each region type, preserving natural skin texture while enhancing non-skin features.
Solution Approach 2:
The patent applies local quality differentiation by using distinct processing parameters for skin regions versus non-skin regions. Skin regions receive processing that preserves natural texture, while non-skin regions receive different treatment to enhance features while maintaining realism.
3Manufacturing precision
If multiple non-overlapping regions are processed separately with different parameters, then the overall face processing effect is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent segments the face into multiple non-overlapping regions and processes each region independently with optimized parameters. This segmentation allows parallel processing of different regions, improving overall processing efficiency while maintaining high precision for each facial feature.
Solution Approach 2:
The patent applies processing selectively to specific regions rather than the entire face image. By focusing computational resources only on the detected non-overlapping regions of interest, the system achieves high processing quality while reducing unnecessary computation on already-satisfied areas.
Data Source
AI summary
A face image processing method includes: performing face detection on a to-be-processed image, to obtain at least one face region image included in the to-be-processed image and face key point information in the at least one face region image; and processing, for the at least one face region image, an image corresponding to a first region and/or an image corresponding to a second region in the face region image at least according to the face key point information in the face region image, wherein the image corresponding to the second region and the image corresponding to the first region are at least partially non-overlapping.