Mobile 3D Body Scanning via 2D Camera and Accelerometer
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Solution Overview
Problem
Current mobile devices lack the capability to create and analyze 3D models of the human body using 2D images without requiring a depth map or 3D cameras, which are not commonly available in the mass market.
Innovation Solution
A method utilizing a 2D camera on a mobile device to capture multiple 2D images, combined with accelerometer data for angular positioning, to construct a 3D body model without the need for depth measurements, allowing for self-scanning and body metrics analysis in uncontrolled environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a 3D camera is used to capture body images, then depth map accuracy is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent uses multiple 2D camera images as copies of the body from different angles to reconstruct the 3D model, replacing the need for a single complex 3D camera with multiple simpler 2D camera captures
Solution Approach 2:
The patent transitions from 2D image capture to 3D model reconstruction by adding the dimension of multiple viewing angles and using computational algorithms to synthesize depth information from 2D projections
2Measurement precision
If multiple 2D images are captured from different angles, then 3D model accuracy is improved, but the scanning process time increases
Solution Approach 1:
The patent establishes predetermined camera positions and angles before scanning, allowing the user to quickly capture images from standardized viewpoints without needing to manually position the device or calculate angles during the scanning process
Solution Approach 2:
The system automatically processes multiple 2D images and performs 3D reconstruction without requiring real-time user intervention, enabling batch processing that reduces perceived scanning time while maintaining accuracy
3Measurement precision
If accelerometer data is used to determine camera position, then positioning accuracy is improved, but device power consumption increases
Solution Approach 1:
The patent pre-calculates and stores transformation matrices and geometric relationships for standardized camera positions, allowing the system to use simple accelerometer readings rather than performing complex real-time calculations that would consume more power
Solution Approach 2:
The system uses low-power accelerometer measurements instead of continuous high-precision positioning systems, accepting that the data is sufficient for the intended application without requiring energy-intensive continuous calibration
Data Source
AI summary
A 2D camera is used to create a 3D full body image. A camera takes one 2D image, an accelerometer is used to calculate camera position, and several computer systems are employed to construct a 3D body model. This may be performed in a non-controlled environment and by the user alone. An automatic segmentation of the 2D image creates special information for 3D model reconstruction. Once the 3D model measurements are extracted, the user has the option to further specify measurements. In one embodiment, the 3D model is shared via cloud and social media, and also used to assist in shopping while ensuring accurate measurements for the user. In another embodiment, the digital model of products designed for the target consumer body is automatically adjusted and shown as a 3D image on the user's body. The 3D model may be shared with businesses for manufacturing using 3D morphology.