3D Human Body Model Bone Parameter Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for generating three-dimensional local human body models, particularly in the gaming and virtual reality industries, face challenges in efficiently adjusting bone parameters to achieve precise and rapid changes in model shape and details, leading to user difficulty in controlling high degrees of freedom.
Innovation Solution
A method and apparatus for generating a three-dimensional local human body model by acquiring and adjusting bone parameter adjustment information, allowing simultaneous adjustment of multiple bone parameters within defined ranges, and generating the model based on these adjustments, including the integration of face makeup generation using bone parameters and blend shape data transformation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large number of bones are erected to adjust the shape of a model, then the shape adjustment capability is improved, but the operation complexity increases and user control becomes difficult
Solution Approach 1:
The patent segments the bone parameter adjustment into independent parameter groups (position, rotation, scaling) and organizes bones into hierarchical structures (skull, face, eye, eyebrow regions). This segmentation allows users to adjust specific parameters without managing all bones individually, reducing operational complexity while maintaining shape adjustment capability.
Solution Approach 2:
The patent implements dynamic parameter adjustment where bone parameters can be modified in real-time based on input data (such as 2D image coordinates). The system dynamically calculates and applies parameter changes to generate updated 3D models, enabling flexible and adaptive shape adjustment without manual bone-by-bone manipulation.
2Manufacturing precision
If bone parameters are adjusted manually, then precision can be achieved, but the time required for adjustment increases
Solution Approach 1:
The patent replaces manual mechanical adjustment with automated parameter calculation based on input data processing. Users provide 2D coordinate data, and the system automatically computes the corresponding bone parameter adjustments, generating precise 3D models rapidly without time-consuming manual manipulation.
Solution Approach 2:
The patent utilizes parameter transformation to convert input data (2D coordinates) into bone parameter adjustments. By changing parameters through mathematical transformations and mappings, the system achieves precise model generation quickly, eliminating the need for slow manual adjustment while maintaining high precision.
3Productivity
If multiple bone parameters are adjusted simultaneously, then rendering efficiency is improved, but the control difficulty increases
Solution Approach 1:
The patent segments control into independent parameter categories (position, rotation, scaling) and applies them to specific bone regions. Users can adjust multiple parameters simultaneously through a simplified interface that organizes them by function, maintaining control ease while enabling efficient rendering through batch processing.
Solution Approach 2:
The patent introduces an intermediary parameter transformation layer that mediates between user input and bone parameter adjustment. This intermediary processes and coordinates multiple parameter changes, translating user-friendly inputs into coordinated bone parameter modifications, thereby reducing control difficulty while enabling simultaneous multi-parameter adjustment for efficient rendering.
Data Source
AI summary
A method for generating a three-dimensional local human body model are provided in embodiments of the disclosure. The method for generating a three-dimensional local human body model includes: acquiring bone parameter adjustment information of a three-dimensional local human body model; adjusting bone parameters of the three-dimensional local human body model according to the bone parameter adjustment information; and generating the three-dimensional local human body model according to the adjusted bone parameters.