3D Image Error Region Correction for Missing Surface Areas
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Solution Overview
Problem
Existing image processing technologies generate three-dimensional images that can suffer from stretched or missing surface areas, such as ears or necks, during rotation due to errors in data processing.
Innovation Solution
An image processing apparatus that includes an information acquisition unit, a 3D data generation processing unit, an error region detection unit, and an image adjustment unit to detect and correct errors in 3D data, such as upsampling and image suppression processes to make the errors inconspicuous, and interpolate missing portions using machine learning or deep learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If three-dimensional image is generated through image processing, then three-dimensional visualization is achieved, but stretched or missing surface areas occur during rotation
Solution Approach 1:
The patent applies preliminary action by detecting error regions in the three-dimensional image data before rotation occurs. The system identifies stretched or missing surface areas in advance and prepares correction data, so that when rotation happens, the image can be properly adjusted without displaying artifacts. This is achieved through the error region detection unit that analyzes the 3D data structure prior to any rotation operation.
Solution Approach 2:
The patent implements local quality by applying different processing strategies to different regions of the three-dimensional image. Instead of uniformly processing the entire image, the system identifies specific error regions (such as stretched ear surfaces or missing neck areas) and applies targeted correction only to those localized areas. This allows high-quality rendering in correct regions while selectively correcting problematic regions during rotation.
2Adaptability or versatility
If image processing is performed to generate three-dimensional image, then visualization capability is improved, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the image processing system into distinct functional modules: an error region detection unit that identifies problematic areas, a correction data generation unit that creates adjustment information, and an image rendering unit that applies corrections during display. This modular segmentation allows each component to perform its specific function efficiently, reducing overall system complexity while maintaining advanced three-dimensional processing capabilities.
Data Source
AI summary
An image processing apparatus includes: an information acquisition unit configured to acquire an image and distance information of a subject; a 3D data generation processing unit configured to generate 3D data of the subject based on the image and the distance information; an error region detection unit configured to detect an error region of the 3D data; and an image adjustment unit configured to adjust image information of the error region.