3D Body Model from 2D Images via Multi-View Parameter Prediction
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Solution Overview
Problem
Current three-dimensional modeling of the human body requires expensive or large sensors like stereo imaging elements and depth sensing devices, making it inaccessible for widespread use.
Innovation Solution
A method to generate a dimensionally accurate three-dimensional model of a body using two-dimensional images from standard cameras like those found in portable devices, processing multiple views to determine predicted body parameters and refine the model for accuracy and texture augmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stereo imaging elements or depth sensing devices are used for three-dimensional body modeling, then measurement precision and model accuracy are improved, but device cost and complexity increase significantly
Solution Approach 1:
The patent uses multiple two-dimensional images as copies from different angles to reconstruct the three-dimensional body model. Instead of requiring complex stereo sensors, the system captures multiple 2D images using standard cameras and processes them to generate the 3D model, thereby reducing device complexity while maintaining modeling accuracy
Solution Approach 2:
The patent transitions from two-dimensional image data to three-dimensional model representation by processing multiple 2D images from different viewpoints. This dimensional transformation allows the system to achieve 3D body modeling using simple 2D cameras rather than complex 3D sensors
2Measurement precision
If stereo imaging elements or depth sensing devices are used for three-dimensional body modeling, then measurement precision is improved, but accessibility and ease of use deteriorate
Solution Approach 1:
The patent employs inexpensive standard digital cameras instead of expensive specialized depth sensing devices. By using widely available consumer cameras that capture 2D images, the system makes three-dimensional body modeling accessible to general users without requiring investment in costly professional equipment
3Device complexity
If multiple two-dimensional images are processed to generate three-dimensional model, then device cost is reduced, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary processing of multiple 2D images to extract body contours and features before reconstructing the three-dimensional model. By pre-processing the image data to identify key body landmarks and silhouettes, the system reduces the computational burden during the actual 3D reconstruction phase, thereby reducing overall processing time
Data Source
AI summary
Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.