Dynamic Model Generation Switching for Virtual Experience
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Solution Overview
Problem
Current technologies fail to provide a natural virtual experience in virtual spaces by effectively controlling the expression of characters based on user operations, leading to unnatural interactions and privacy concerns.
Innovation Solution
An information processing apparatus with an acquisition unit, generation unit, and generation control unit that switches between two generation processes to create models of varying reproducibility, allowing for accurate representation and modification of user statuses, postures, and object interactions, while ensuring privacy protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single generation process is used to generate the model of the target object, then the system complexity is low, but the ability to provide natural virtual experience and handle different reproducibility requirements is insufficient
Solution Approach 1:
The system dynamically switches between the first generation process and the second generation process based on reproducibility requirements. The generation control unit determines which process to execute, allowing the system to adapt its model generation approach rather than being fixed to a single method.
Solution Approach 2:
The model generation functionality is segmented into two distinct generation processes: the first generation process for high reproducibility requirements and the second generation process for lower reproducibility requirements. This segmentation allows each process to be optimized for its specific use case while managing overall system complexity.
2Manufacturing precision
If the first generation process is used to generate a model with high reproducibility, then the model accuracy is improved, but the processing time and computational resources increase
Solution Approach 1:
The system changes the reproducibility parameter by selecting different generation processes. The first generation process is used when high reproducibility is required, while the second generation process is used when lower reproducibility is acceptable, thus adjusting the parameter based on requirements.
Solution Approach 2:
The second generation process performs partial action compared to the first generation process, generating models with lower reproducibility but faster processing. This allows the system to use only the necessary level of detail required for each specific application.
3Reliability
If the status of the target object is reproduced without change, then the model fidelity is high, but the ability to express desired statuses and handle privacy concerns is limited
Solution Approach 1:
The second generation process applies local quality changes by modifying specific statuses of the target object while maintaining other aspects. This allows selective alteration of model characteristics such as expression, posture, or motion while preserving overall model fidelity where needed.
Solution Approach 2:
The system can extract and modify specific status elements from the original target object model. This allows removal or alteration of particular features (such as identifying characteristics for privacy protection) while maintaining the core model structure and other desired properties.
Data Source
AI summary
An information processing apparatus according to an aspect of the present technology includes an acquisition unit, a generation unit, and a generation control unit. The acquisition unit acquires an image of a target object. The generation unit is able to execute each of a first generation process and a second generation process different from the first generation process as a generation process of generating a model of the target object on the basis of the acquired image of the target object. The generation control unit controls switching of execution of the first generation process and execution of the second generation process by the generation unit.