Body Surface Distance Measurement Using Template Mesh Registration
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Solution Overview
Problem
Existing methods for automatic anthropometric measurements on human bodies require expensive scanning devices and are not always readily available, making it inconvenient for users to obtain accurate body measurements for online shopping or garment manufacturing.
Innovation Solution
A processor-based apparatus that receives a point cloud of a human body, generates a registered mesh with predefined measurement paths, and uses regression optimization to calculate surface distances, allowing for accurate and automated measurement of body dimensions using a mobile device or other scanning technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive scanning devices are used, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a template mesh (a simplified 3D model of a human body) that is registered onto the point cloud data obtained from scanning. This template copying approach allows measurements to be extracted from a standardized model that has been aligned with the scan data, rather than requiring complex direct measurement algorithms on raw point clouds. This reduces computational complexity while maintaining measurement accuracy.
Solution Approach 2:
The template mesh acts as an intermediary between the raw scan data and the final measurements. By registering the template mesh to the point cloud and using predefined measurement paths on the template, the system mediates the transformation from unstructured scan data to structured measurement results, simplifying the overall measurement process.
2Measurement precision
If specialized scanning devices are used, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The template mesh registration approach is universally applicable to different scanning devices and body types. The same template and measurement methodology can be used regardless of whether the scan comes from a mobile phone camera, a dedicated scanner, or another imaging device, making the system easy to operate across different platforms while maintaining precision.
3Ease of operation
If template mesh registration is used, then ease of operation is improved, but measurement precision may deteriorate
Solution Approach 1:
The system adjusts parameters of the template mesh during registration to match the individual body shape in the point cloud. By optimizing registration parameters (such as scale, rotation, and local deformations), the template adapts to the specific body being measured, maintaining precision while keeping the process automated and easy to operate.
Solution Approach 2:
The registration process uses feedback from the point cloud data to adjust the template mesh positioning and orientation. The system iteratively refines the template alignment by comparing template features with corresponding points in the cloud, ensuring accurate measurement paths are established while maintaining operational simplicity.
Data Source
AI summary
Automatic anthropometric measurements may be utilised for various applications, such as online shopping and virtual tailoring. It is an objective to provide an apparatus for measuring surface distances of a human body. An apparatus is configured to receive a point cloud representing a surface shape of a scanned human body. The apparatus can be configured to generate a registered mesh of the surface shape of the scanned human body by registering a template mesh onto the point cloud. The template mesh can include predefined measurement paths, and the registered mesh can also include the predefined measurement paths after the registration. The apparatus can generate raw measurement results using the predefined measurement paths. The apparatus can be configured to calculate, using regression optimisation, at least one measurement result corresponding to a surface distance on the scanned human body using the raw measurement results.


