Depth Camera 3D Body Model Acquisition for Virtual Fitting
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Solution Overview
Problem
Existing virtual fitting systems fail to accurately establish three-dimensional human body models and garment models, leading to inaccurate size determination and lack of real fitting effects due to incomplete and inaccurate data.
Innovation Solution
A human body model acquisition method using depth cameras that generates mark points on the body surface, reconstructs depth images into a three-dimensional model, and mosaics them to create an accurate 3D human body model, combined with a virtual network fitting system that matches 3D garment models with the body models to generate realistic fitting effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If 3D human body models are acquired by calling data in existing virtual fitting systems, then the system operation is simple, but the accuracy of the 3D human body models deteriorates
Solution Approach 1:
The patent replaces the manual data input method with an automated depth camera-based scanning system. The depth camera automatically captures and processes body measurements through optical fields, substituting the mechanical/manual data entry process with an optical measurement system that directly generates accurate 3D models without user intervention.
Solution Approach 2:
The system enables self-service measurement where the depth camera autonomously scans the user's body, automatically processes the depth images, and generates the 3D human body model without requiring user input or manual measurement. The system serves itself by automatically completing the entire measurement and modeling process.
2Measurement precision
If depth cameras are used to scan the model body from multiple angles, then the accuracy of the three-dimensional model is improved, but the time required for scanning increases
Solution Approach 1:
The patent employs periodic action by using a turntable to rotate the model body at regular intervals, allowing the depth camera to capture images at multiple predetermined angles systematically. This periodic rotation enables comprehensive multi-angle scanning while maintaining a controlled and efficient scanning process that balances accuracy with time consumption.
3Measurement precision
If mark points are generated on the body surface for feature determination, then the precision of body surface feature identification is improved, but the complexity of the scanning system increases
Solution Approach 1:
The patent applies color changes by projecting structured light patterns (including different colors or intensity variations) onto the model body surface. These optical patterns create visible mark points that correspond to specific body surface features, enabling precise feature identification through optical detection without adding mechanical complexity to the scanning system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the creation of accurate three-dimensional human body and garment models, providing a real fitting effect by accurately determining garment sizes and postures, enhancing the virtual fitting experience.
Implementation Method 1
irradiating the model body from 360 degrees by using structured light generated by the depth cameras, so as to generate the mark points for determining the feature information of irradiation sites on the irradiation sites
Implementation Method 2
collecting the depth images of the irradiation sites by using the depth cameras during the irradiation to acquire the depth image sequence that covers the model body surface and contains the mark points
Data Source
AI summary
The present invention relates to a human body model acquisition method and a virtual network fitting system based on depth cameras. The method includes the following steps: step S1: generating mark points covering a model body surface and used for determining features of the model body surface on the model body surface, meanwhile collecting depth images of the model body from a plurality of angles by using the depth cameras to acquire a depth image sequence that covers the model body surface and contains the mark points; step S2: carrying target depth information point cloud grid reconstruction on frames of depth images in the depth image sequence; and step S3: mosaicing the reconstructed frames of depth images into a three-dimensional model of the model body according to the mark points in the reconstructed frames of depth images. Compared with the prior art, by adopting the human body model acquisition method and the virtual network fitting system based on the depth cameras provided by the present invention, the accurate three-dimensional human body model and the accurate three-dimensional garment model can be acquired, and virtual fitting is carried out accordingly to acquire a real fitting effect.