Mobile Terminal Perspective Distortion Correction via Local Coefficients
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Solution Overview
Problem
Mobile terminals struggle to correct perspective distortion in images of three-dimensional subjects captured as two-dimensional images, particularly affecting edge regions where objects appear distorted.
Innovation Solution
A mobile terminal with a camera and display unit that extracts objects, such as faces, and modifies their position based on distance from the image center using correction coefficients, providing a compensation image or additional correction image to minimize distortion and maintain the subject's original shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a three-dimensional subject is imaged using a camera, then the image captures the subject in a two-dimensional format, but perspective distortion occurs in edge regions of the image
Solution Approach 1:
The patent applies different correction coefficients to different regions of the image based on their distance from the center. Edge regions with greater distortion receive stronger correction coefficients, while central regions receive weaker coefficients. This local differentiation resolves the contradiction by tailoring the correction strength to the specific distortion level of each region, maintaining subject shape accuracy without over-correcting already accurate central areas.
Solution Approach 2:
The patent modifies image parameters (pixel coordinates) by applying correction coefficients that transform distorted edge regions back to their original positions. The correction coefficient varies as a parameter based on distance from the image center, effectively reversing the perspective distortion caused by the 3D-to-2D projection and restoring accurate subject representation.
2Measurement precision
If the entire image is corrected uniformly, then perspective distortion is reduced, but unnecessary regions are also modified increasing processing complexity
Solution Approach 1:
The patent implements selective correction by applying correction coefficients only to regions that require it, determined by their distance from the image center. This local approach avoids uniform processing of the entire image, reducing unnecessary modifications and simplifying the processing complexity while still achieving effective distortion correction in affected areas.
Solution Approach 2:
The patent applies correction selectively to edge regions rather than uniformly across the entire image. By focusing correction action only on the partial region where distortion occurs (edge regions) and leaving central regions with minimal or no correction, the system achieves effective distortion reduction without the excessive processing complexity of uniform full-image correction.
3Measurement precision
If multiple objects are extracted from the image, then comprehensive correction is possible, but user selection and processing time increase
Solution Approach 1:
The patent extracts multiple objects and applies correction selectively based on each object's characteristics and position. By identifying which objects require correction and applying appropriate correction coefficients to each, the system achieves comprehensive correction accuracy for relevant objects while avoiding unnecessary processing of objects that don't require correction, thus reducing overall processing time.
Data Source
AI summary
Disclosed are a mobile terminal and a method of controlling the same. The mobile terminal includes a camera configured to photograph an external environment, a display unit configured to display an image captured by the camera, and a control unit configured to extract, from the image, at least one object corresponding to a face in the external environment and control the display unit to correct the image by modifying a certain region of the at least one object, based on a distance from a center of the image to the at least one object.