Character Morphing Point Adjustment for Image Effect Generation

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Solution Overview

Problem

Traditional machine learning methods for morphing character appearances in images often result in poor morphing effects due to incomplete traversal of training models, leading to inadequate representation and interaction in digital environments.

Innovation Solution

A method and apparatus for generating effect images by acquiring a character appearance image and a morphing point, determining a target morphing point based on a character appearance template, and generating a morphing effect image, which includes scanning the image, acquiring key points, and adjusting morphing points to improve the morphing accuracy and completeness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If traditional machine learning methods are used for morphing character appearances, then the process can be automated, but the morphing effect quality deteriorates due to incomplete traversal of training models

Engineering Contradiction:

Improveautomation of morphing processVSAvoidmorphing effect quality

Core Design Contradiction:

Extent of automationVSManufacturing precision

Solution Approach 1:

The patent implements a feedback mechanism where the morphing result is evaluated and used to adjust the morphing point selection. The system calculates a morphing effect evaluation value based on the result image and uses this feedback to optimize the selection of morphing points in subsequent iterations, thereby improving morphing quality while maintaining automation.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent dynamically adjusts the morphing point coordinates and weights as parameters during the morphing process. By changing these parameters based on the evaluation results and training model traversal, the system optimizes the morphing effect quality without sacrificing the automated process.

Inventive Principle:

Principle #35Parameter changes

2Quantity of substance

If masses of training results are used, then the training data quantity increases, but the morphing effect deteriorates due to incomplete traversal of training models

Engineering Contradiction:

Improvetraining data quantityVSAvoidmorphing effect quality

Core Design Contradiction:

Quantity of substanceVSManufacturing precision

Solution Approach 1:

The patent performs preliminary actions by pre-processing the training data and organizing it into a structured format that enables complete traversal. The training models are prepared in advance with proper indexing and organization, allowing the system to efficiently access and traverse all training results without missing any, thereby utilizing the full quantity of training data effectively.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent ensures continuous and complete traversal of the training models through a systematic approach. The system maintains continuous action by sequentially processing all training data without interruption or omission, ensuring that every training result is utilized to its full potential for improving morphing quality.

Inventive Principle:

Principle #20Continuity of useful action

3Adaptability or versatility

If character appearance morphing is performed, then the image interaction effect improves, but the morphing accuracy deteriorates due to incorrect morphing point determination

Engineering Contradiction:

Improveimage interaction effectVSAvoidmorphing point accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent replaces traditional mechanical or manual morphing point determination methods with an automated image processing system. By using image recognition algorithms and automated point selection based on character appearance features, the system achieves both high accuracy in morphing point determination and improved image interaction effects.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system uses feedback from the morphing result evaluation to refine the morphing point determination. The evaluation value calculated from the result image is used to adjust and optimize the selection of morphing points, ensuring high accuracy while maintaining the adaptability and interaction effects of the morphed character appearances.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250104322A1Method, and apparatus, device, and storage medium for generating effect image

Publication Date: 2025.03.27 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

Examples of the disclosure disclose a method and apparatus for generating an effect image, a device, and a storage medium. The method includes: acquiring a character appearance image to be morphed, and a first morphing point in the character appearance image to be morphed; acquiring a second morphing point in a character appearance template; determining a target morphing point according to the second morphing point and the first morphing point; and generating a character appearance morphing effect image based on the target morphing point.