Skeleton Model Control via Standard Pose Mirroring
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Solution Overview
Problem
Existing methods for creating a new skeleton model require users to set angle limitations and hardness in bending for joints, which is cumbersome and requires knowledge and experience to achieve a natural pose, making it difficult for users to generate a skeleton model with realistic movements.
Innovation Solution
A method of controlling a skeleton model by using a standard model with pre-set control data for joint angles to determine the pose or movement of a target model, where the standard model's pose or movement is mirrored onto the target model based on corresponding bone groups, allowing for natural and realistic movements without the need for users to manually set angle limitations or hardness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually set angle limitations and hardness in bending for each joint, then the skeleton model can achieve natural poses, but the process becomes troublesome and requires specialized knowledge
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal angle limitations and hardness values in a database during the skeleton model creation process. When the model is used, these parameters are automatically retrieved and applied without requiring manual user input, thus achieving natural poses while simplifying operation.
Solution Approach 2:
The system performs self-service by automatically determining appropriate angle limitations and hardness parameters based on the skeleton model's structure and intended use. The system retrieves and applies these parameters autonomously from its database without requiring external user input or specialized knowledge from the operator.
2Reliability
If users manually configure joint parameters, then realistic movements can be achieved, but extensive knowledge and experience are required
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal angle limitations and hardness values in a database during the skeleton model creation process. When the model is used, these parameters are automatically retrieved and applied without requiring manual user input, thus achieving natural poses while simplifying operation.
Solution Approach 2:
The system performs self-service by automatically determining appropriate angle limitations and hardness parameters based on the skeleton model's structure and intended use. The system retrieves and applies these parameters autonomously from its database without requiring external user input or specialized knowledge from the operator.
3Manufacturing precision
If angle limitations are set for each joint, then natural poses are achieved, but the setting process is troublesome
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal angle limitations and hardness values in a database during the skeleton model creation process. When the model is used, these parameters are automatically retrieved and applied without requiring manual user input, thus achieving natural poses while simplifying operation.
Solution Approach 2:
The system performs self-service by automatically determining appropriate angle limitations and hardness parameters based on the skeleton model's structure and intended use. The system retrieves and applies these parameters autonomously from its database without requiring external user input or specialized knowledge from the operator.
Data Source
AI summary
A method of controlling a model by a computer, includes accepting an instruction of changing a pose or a movement of a standard model for which control data for joint angles is attached; determining a pose or a movement of the standard model based on the instruction and the control data for joint angles; and determining a pose or a movement of a target model to be controlled where parts of the standard model and parts of the target model being in correspondence with each other, such that the pose or the movement of the target model follows the pose or the movement of the determined standard model based on the correspondence of the parts of the standard model and the parts of the target model.


