3D Body Shape Measurement Using Purpose-Specific Estimation Models
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Solution Overview
Problem
Conventional methods for measuring body shape size using three-dimensional models are inaccurate and cannot account for individual variations or specific purposes, leading to discrepancies in measurements.
Innovation Solution
An information processing device that includes an acquisition unit to gather data from a three-dimensional model and an estimation model learning unit to adjust measurements based on predetermined purposes, ensuring accurate estimation of body shape sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional three-dimensional model measurement is used, then measurement process is simple, but measurement precision is insufficient for different purposes
Solution Approach 1:
The patent applies parameter changes by adjusting measurement parameters based on different purposes. The system stores multiple sets of measurement parameters (e.g., different line segment definitions, measurement points) corresponding to different purposes (clothing size, health monitoring, etc.), and selects appropriate parameters dynamically. This allows the same three-dimensional model to yield purpose-optimized measurements without requiring multiple physical measurement systems.
Solution Approach 2:
The patent segments the measurement process into distinct components: three-dimensional model generation, parameter selection based on purpose, and estimation model application. By dividing the measurement system into modular functional segments, the patent achieves high measurement precision for different purposes while maintaining manageable system complexity through clear separation of concerns.
2Adaptability or versatility
If single measurement standard is used, then measurement process is simple, but adaptability to different purposes is poor
Solution Approach 1:
The patent implements universality by designing a single three-dimensional model measurement system that serves multiple purposes through parameter variation. The system can adapt to different measurement needs (clothing sizing, health monitoring, anthropometric research) by selecting appropriate parameter sets and estimation models, making one system perform multiple functions without requiring separate specialized systems for each purpose.
Solution Approach 2:
The patent applies dynamics by making the measurement system flexible and adaptable rather than fixed. The system dynamically selects measurement parameters and estimation models based on the specified purpose, allowing it to adjust its behavior and measurement approach according to different requirements. This dynamic adaptability enables the system to handle diverse measurement scenarios while maintaining a unified underlying framework.
3Measurement precision
If three-dimensional model estimation is used, then measurement speed is fast, but measurement precision for specific purposes is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-storing multiple sets of measurement parameters and estimation models corresponding to different purposes before actual measurement occurs. During the measurement process, the system simply selects and applies the appropriate pre-prepared parameters and models based on the specified purpose, avoiding time-consuming real-time calculations or adjustments. This preliminary preparation enables both high precision and fast execution during actual measurement.
Solution Approach 2:
The patent implements feedback mechanisms where measurement results are evaluated against purpose-specific criteria, and the system can refine parameter selection and model application based on this feedback. This allows the system to learn from measurement outcomes and improve its accuracy for different purposes over time, balancing the initial time investment in model learning with ongoing measurement precision improvements.
Data Source
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AI summary
To enable appropriate measurement of a body shape size of a user for each purpose. An information processing device according to the present application includes an acquisition unit and a learning unit. The acquisition unit acquires, from a three-dimensional model of the user, information indicating a range of a length measurement target and data of a length of a line segment of the measurement target, the data being of a length according to a purpose and used for a predetermined purpose. The learning unit causes learning of the estimation model that estimates the length of the line segment of the measurement target used for the purpose from the three-dimensional model such that the length of the line segment estimated from the three-dimensional model becomes an actual measurement value of the length of the line segment of the measurement target.