Image Processing Method for Facial Feature Transformation
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Solution Overview
Problem
Existing image processing applications lack diversity in image processing methods, failing to meet the varied and evolving user requirements for image enhancements.
Innovation Solution
An image processing method that involves transforming and moving facial features in images to create novel special effects by superimposing different facial features and additional information, allowing for diverse image variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing image processing applications use standard processing methods, then the processing is simple and fast, but the image processing lacks diversity and cannot meet varied user requirements
Solution Approach 1:
The patent segments facial features into distinct key points (eyes, eyebrows, nose, mouth, etc.) that can be independently detected, transformed, and processed. This segmentation allows each feature to be manipulated separately to create diverse special effects while maintaining a systematic processing approach
Solution Approach 2:
The patent introduces a transformation dimension by applying affine transformations (rotation, scaling, shearing, translation) to facial features. This dimensional transformation enables the same base image to generate multiple varied versions, significantly increasing processing diversity without proportionally increasing complexity
2Adaptability or versatility
If facial features are transformed and moved to create novel special effects, then user experience and satisfaction are enhanced, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent performs face detection and key point identification as preliminary actions before applying transformations. By pre-locating all facial features and establishing their coordinates, the system prepares the data structure in advance, enabling efficient subsequent processing and reducing computational overhead during the actual transformation phase
Solution Approach 2:
The patent implements a universal affine transformation framework that can apply multiple types of geometric transformations (rotation, scaling, shearing, translation) through a single mathematical model. This multi-functional approach allows diverse special effects to be generated using one unified processing pipeline, improving efficiency by avoiding separate processing routines for each effect type
Data Source
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AI summary
Embodiments of the present disclosure relate to the field of image processing technologies and disclose an image processing method and apparatus, an electronic device, and a computer-readable storage medium. The image processing method includes: when an obtained first image includes a human face, performing a first transformation process on the first image to obtain a second image; determining, based on a first target face key point of the human face in the first image, a target position, in the first image, of a second target face key point of the human face in the second image; performing a first movement process on the second image based on the target position; and generating a target image based on the first image and the second image processed through the first movement process, and displaying the target image. With the method according to the embodiments of the present disclosure, an image having a novel style of special effects can be provided to a user to satisfy the user's need for a variety of image variations, thereby effectively enhancing user experience and user satisfaction.