Facial Image Deformation Using Anchor Points for Stable Editing
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Solution Overview
Problem
Existing facial image deformation technologies lack flexibility and precision in allowing users to achieve targeted and stable deformation effects, often resulting in unwanted distortions such as facial feature flipping and asymmetry.
Innovation Solution
A method and apparatus for facial image deformation that determines an anchor point corresponding to a dragging operation, calculates an offset based on the movement amount, and deforms the image using grid-based or feature line-based methods, while incorporating pose information and preset conditions to ensure accurate and controlled deformation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional facial image deformation methods are used, then deformation can be achieved, but flexibility and precision are insufficient resulting in unwanted distortions
Solution Approach 1:
The patent segments the facial image into multiple control regions (eye region, eyebrow region, nose region, mouth region, cheek region) with each region having its own anchor points. This segmentation allows independent deformation control of different facial parts, preventing unwanted distortions while achieving precise targeted deformation.
Solution Approach 2:
The patent applies local quality by assigning different deformation properties to different facial regions. Each region has customized anchor points and deformation parameters tailored to its specific characteristics, enabling precise control over local facial features while maintaining overall facial harmony and preventing asymmetry.
2Adaptability or versatility
If anchor points are set for each control region, then deformation flexibility is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal deformation framework that handles multiple facial regions through a consistent anchor point mechanism. The same basic deformation algorithm and control interface are applied across different facial regions, making the system versatile and adaptable while avoiding the need for region-specific complex processing.
Solution Approach 2:
The patent performs preliminary action by pre-defining anchor points and control regions based on facial landmarks before deformation occurs. This preprocessing step establishes the deformation framework in advance, allowing flexible user interaction during deformation while avoiding complex real-time calculations.
3Measurement precision
If dragging operation is applied to anchor point, then user control precision is improved, but computational load increases
Solution Approach 1:
The patent applies partial action by allowing users to drag only the specific anchor points relevant to their desired deformation effect, rather than processing the entire facial image. This selective approach improves user control precision while reducing computational load by focusing processing only on the affected local regions.
Data Source
AI summary
Embodiments of the present disclosure provide a facial image deformation method and apparatuses, an electronic device, and a computer-readable media. A specific embodiment of the method comprises: determining an anchor point corresponding to a dragging operation in response to detecting the dragging operation on a target facial image, wherein the anchor point corresponds to a part displayed in the target facial image; determining an offset of the anchor point based on a movement amount corresponding to the dragging operation; and deforming the target facial image based on the offset of the anchor point.