3D Head Modeling with Feature-Point Correction for Real-Time Rendering
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Solution Overview
Problem
Existing head model modeling methods fail to accurately represent the entire human head, resulting in low matching degrees with real human bodies, require excessive computational resources, and struggle with real-time rendering due to large data amounts, often producing cartoon-like models with poor interaction effects.
Innovation Solution
A method that involves acquiring facial contour and local feature points from user images, selecting and adjusting a standard three-dimensional head model using these points to create a personalized model with enhanced accuracy and reduced computational demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the number of sides of the model is increased to improve reality, then the matching degree with real human body is improved, but the amount of calculation increases and real-time rendering cannot be achieved
Solution Approach 1:
The patent segments the head model into multiple parts (head, face, ears, hair, etc.) and processes each part separately with appropriate detail levels. This allows high precision where needed while maintaining overall efficiency, resolving the contradiction between model accuracy and calculation speed.
Solution Approach 2:
The patent applies different levels of model detail to different regions of the head. High-detail modeling is applied to critical areas like the face and五官 (five sense organs) while lower detail is used for less critical areas, achieving realistic appearance without requiring excessive overall complexity.
2Manufacturing precision
If the number of sides of the model is increased to improve reality, then the matching degree with real human body is improved, but the transmission speed decreases and server dependency increases
Solution Approach 1:
The patent divides the complete head model into separable components that can be transmitted independently. This segmentation reduces the data burden on servers and enables faster transmission, while still assembling a complete realistic model on the client side.
Solution Approach 2:
The patent implements a progressive loading strategy where essential head structure is loaded first, and additional detailed components (hair, accessories, etc.) are loaded progressively. This partial loading approach achieves realistic rendering without requiring complete high-detail models to be transmitted simultaneously.
3Productivity
If feature points are used to reduce data amount, then calculation speed is improved, but model quality decreases and cartoon-like appearance results
Solution Approach 1:
The patent applies feature point technology selectively to specific regions rather than uniformly across the entire model. High-detail geometric modeling is used for critical areas like the face and五官 to maintain quality, while feature points are applied to less critical areas to maintain calculation efficiency.
Solution Approach 2:
The patent combines multiple modeling approaches (traditional geometric modeling, feature point technology, and procedural generation) into a composite system. Each method is used where it is most effective, achieving both high model quality and calculation efficiency through technological integration.
Data Source
AI summary
Provided are a method, device, system for modeling a three-dimensional head model, and a storage medium. The modeling method includes: acquiring at least one facial image of a user; acquiring facial contour feature points in the at least one facial image of the user, the facial contour feature points being capable of characterizing a contour of a face or contours of five sense organs of the user; selecting a standard three-dimensional head model according to the facial contour feature points; acquiring facial local feature points in the at least one facial image of the user, the facial local feature points being capable of reflecting refined features of face shape and refined features of the five sense organs of the user; correcting the selected standard three-dimensional head model according to the facial local feature points, to obtain a three-dimensional head model conforming to facial features of the user.