Image Correction via Regional Body Part Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional electronic devices struggle to automatically correct images for distortion, particularly in photographs where faces appear unnatural and legs appear short, due to inadequate handling of different body parts and perspectives.
Innovation Solution
An electronic device is designed to detect body parts such as faces and legs within an image, applying specific correction schemes like size adjustment and perspective transformation to generate a more natural-looking image by dividing the image into regions and applying tailored correction schemes to each part.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single correction scheme is applied to the entire image, then the correction process is simple and fast, but the image quality is poor with unnatural body proportions
Solution Approach 1:
The image is divided into multiple regions of interest (ROIs) based on detected body parts such as face, body, and legs. Each ROI is then processed with appropriate correction parameters. For example, the face region may use different scaling factors than the leg region, allowing precise correction of body proportions while maintaining processing efficiency through regional specialization.
Solution Approach 2:
Different correction schemes and parameters are applied to different regions of the image based on the specific body part detected. The face region, body region, and leg region each receive tailored correction treatments. This allows the face to maintain natural features while the legs are corrected for length distortion, achieving high-quality correction without uniformly processing the entire image.
2Manufacturing precision
If different correction schemes are applied to different body parts, then image quality is improved with natural body proportions, but the correction process becomes complex and time-consuming
Solution Approach 1:
The system performs preliminary detection and segmentation of body parts (face, body, legs) before applying correction schemes. By pre-identifying the regions of interest and their boundaries, the system prepares the image structure in advance, allowing parallel processing of different regions and reducing overall correction time while maintaining precise body proportion correction.
Solution Approach 2:
The correction parameters for each body part are dynamically adjusted based on the detected distortion characteristics. The system analyzes the specific distortion in each region (e.g., leg shortening, face perspective) and applies adaptive correction factors. This dynamic approach optimizes correction efficiency by focusing computational resources only on the detected body parts rather than processing the entire image uniformly.
3Manufacturing precision
If conventional correction methods are used, then the processing is fast and simple, but faces and legs appear distorted with unnatural proportions
Solution Approach 1:
The system automatically detects body parts and applies appropriate correction schemes without requiring manual user input or intervention. The electronic device autonomously identifies the face, body, and leg regions, determines the appropriate correction parameters for each, and executes the correction process. This self-service approach maintains operational simplicity for the user while achieving high-precision correction of face and body proportions through automated regional processing.
Data Source
AI summary
Provided is an electronic device including a display configured to display a first image; and one or more processors electrically connected with the display, wherein the one or more processors are configured to: select a region surrounding a first object comprising a first sub-region surrounding a first part of the first object and a second sub-region surrounding a second part of the first object from the first image, apply a first correction scheme to the first sub-region surrounding the first part of the first object, apply a second correction scheme to the second sub-region surrounding the second part of the first object, and generate a second image comprising the corrected first sub-region surrounding the first part of the first object and the corrected second sub-region surrounding the second part of the first object.