Single-Camera 3D Body Reconstruction With Parametric Pose Fitting
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Solution Overview
Problem
Generating accurate three-dimensional body reconstructions from two-dimensional image data using a single stationary camera is challenging due to issues with posture and position changes, noisy datasets, and lack of anatomical correspondence, leading to inaccurate reconstructions with existing methods.
Innovation Solution
A regression method using a parametric human body model, such as SMPL, adjusts parameters based on captured point cloud and image data from a monocular camera, involving sparse and dense optimization stages to minimize cost functions and align the model with the user's shape and pose, while removing noise and ensuring anatomical correspondence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single stationary camera is used to capture body data, then device complexity is reduced and ease of operation is improved, but measurement precision and manufacturing precision of the three-dimensional reconstruction deteriorate due to posture and position changes
Solution Approach 1:
The system accommodates dynamic posture and position changes by using a parametric body model that can adapt to various configurations. The optimization process handles variations in pose and position to maintain reconstruction accuracy despite the stationary camera setup.
Solution Approach 2:
The patent employs a parametric body model with multiple parameters (shape coefficients, pose parameters, texture coordinates) that can be adjusted to match the captured images. This parameter-based approach allows the system to compensate for posture and position changes while maintaining high reconstruction precision.
2Device complexity
If traditional rigid-body methods are used for three-dimensional reconstruction, then the reconstruction process is simple, but accuracy deteriorates due to lack of anatomical correspondence and noisy datasets
Solution Approach 1:
The system segments the body reconstruction into multiple components: a parametric body model with shape coefficients, pose parameters for joint configurations, and texture coordinates. This segmentation allows each component to be optimized independently while maintaining anatomical correspondence.
Solution Approach 2:
The optimization process uses feedback from captured images and depth data to iteratively adjust the parametric model parameters. This feedback mechanism ensures that the reconstruction accurately reflects the actual body geometry while maintaining anatomical plausibility.
3Manufacturing precision
If multiple cameras or moving camera are used to provide multiple two-dimensional images, then measurement precision and reconstruction accuracy are improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system creates a virtual copy of the physical body using a parametric model. This digital twin is then optimized to match the captured images and depth data, allowing high-accuracy reconstruction without requiring multiple physical cameras or complex moving camera setups.
Solution Approach 2:
The patent transforms two-dimensional image data into three-dimensional reconstruction by using a parametric model that adds anatomical dimensionality. This dimensional transformation allows the system to infer depth and body geometry from single-camera captures, eliminating the need for multiple cameras.
Data Source
AI summary
This disclosure describes systems, methods, and devices related to generating a three-dimensional full-body reconstruction using image data from a single camera. A method may include receiving first point cloud data from the camera, the point cloud data representing a person; identifying a first human body template, the first human body template representing body joints; generating, based on a comparison of the first human body template to the first point cloud data, parameters associated with the body joints; and generating, based on the parameters, a second human body template representing the person.