3D Model Morphing for Image Processing Precision
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Solution Overview
Problem
Existing image processing methods often result in unsatisfactory morphing effects when attempting to adjust image effects, leading to unnecessary morphing and suboptimal results.
Innovation Solution
A method and device that acquire a 3D model of a target from a 2D image, transform it using 3D morphing parameters, and map back to 2D space to morph the image, reducing unnecessary morphing and improving morphing effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If direct 2D image morphing is performed, then the process is simple, but the morphing effect is unsatisfactory and includes unnecessary morphing
Solution Approach 1:
The patent transforms the 2D image into a 3D model, performs morphing operations in the 3D space, and then projects back to 2D. This dimensionality change allows for more accurate and controllable morphing by operating on the underlying 3D structure rather than directly manipulating 2D pixels, thereby improving morphing precision while maintaining process simplicity.
2Manufacturing precision
If 3D model transformation is used for morphing, then the morphing effect is improved, but the processing complexity increases
Solution Approach 1:
The patent creates a 3D model copy or representation of the target object from the 2D image. By working with this 3D copy rather than the original 2D image directly, the system achieves precise morphing control while the complexity is managed through automated model generation and projection algorithms.
Data Source
AI summary
A first three-dimensional (3D) model of a target in a 3D space is acquired based on a first two-dimensional (2D) image including the target. A 3D morphing parameter is acquired. The first 3D model is transformed into a second 3D model based on the 3D morphing parameter. First 2D coordinates are acquired by mapping the first 3D model to a 2D space. Second 2D coordinates are acquired by mapping the second 3D model to the 2D space. A second 2D image including a morphed target is acquired by morphing the target in the first 2D image based on the first 2D coordinates and the second 2D coordinates.