3D Representation Refinement via Parameterizable Body Model
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Solution Overview
Problem
Existing 3D representation systems often produce incomplete or poorly detailed models due to occlusions, distance from cameras, or insufficient pixel density, leading to deficiencies in captured image data.
Innovation Solution
A volumetric modeling system that utilizes a parameterizable body model to fill in missing data and enhance the quality of 3D representations by interpolating data from a trained domain-specific body model, aligning it with the pose and physical characteristics of the subject, and integrating it with captured image data to refine the 3D model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a limited number of cameras are used to capture image data, then device complexity is reduced, but measurement precision and completeness of 3D representation deteriorate due to occlusions and insufficient vantage points
Solution Approach 1:
The patent creates a digital twin or 3D replica of the subject by processing image data from multiple cameras. This virtual copy allows complete representation of the subject even when physical cameras cannot capture all angles simultaneously due to occlusions, thereby achieving measurement precision without requiring an excessive number of physical cameras.
Solution Approach 2:
The patent transitions from 2D image captures to a 3D volumetric representation. By reconstructing the subject in three-dimensional space, the system overcomes the limitations of individual camera viewpoints and occlusions, achieving complete coverage without proportionally increasing the number of cameras.
2Area of stationary object
If cameras are positioned far from the subject to capture the entire subject, then the field of view is increased, but manufacturing precision and detail quality deteriorate due to insufficient pixel density
Solution Approach 1:
The patent merges image data from multiple cameras positioned at different distances and angles. By combining captures from both distant cameras (providing overall field of view) and closer cameras (providing high pixel density), the system achieves both complete coverage and fine detail quality in the final 3D representation.
Solution Approach 2:
The patent divides the subject into multiple regions or segments, with different cameras capturing different portions at optimal distances. This segmentation allows each camera to contribute high-quality data for its assigned region while collectively covering the entire subject, resolving the trade-off between field of view and detail quality.
3Manufacturing precision
If cameras are positioned close to the subject to capture detailed image data, then manufacturing precision is improved, but the field of view is reduced and occlusions increase
Solution Approach 1:
The patent employs multiple cameras that can be dynamically positioned or have adjustable fields of view. This dynamic configuration allows the system to optimize the balance between field of view and detail quality for different subjects and capture scenarios, rather than being constrained by a fixed camera arrangement.
Solution Approach 2:
The patent creates a multi-functional camera system where cameras serve multiple purposes: some provide wide-field overview captures while others provide detailed close-up captures. This universal approach allows the same system to achieve both comprehensive coverage and fine detail without requiring separate dedicated systems.
4Measurement precision
If multiple cameras are used to capture complete image data from all angles, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent performs preliminary planning to optimize camera placement and configuration before capture. By pre-calculating the minimum number of cameras needed and their optimal positions for a given subject and desired quality level, the system achieves complete 3D representation with the fewest necessary cameras, avoiding unnecessary complexity.
Solution Approach 2:
The patent adjusts capture parameters such as camera resolution, frame rate, and processing algorithms to compensate for using fewer cameras. By changing these parameters, the system maintains measurement precision and completeness while reducing the number of cameras required, thereby lowering device complexity and cost.
Data Source
AI summary
An illustrative volumetric modeling system may obtain a provisional 3D representation of a subject present at a scene and identify a deficiency in the provisional 3D representation. The provisional 3D representation may be based on image data captured by a set of cameras configured to have different fields of view at the scene. The volumetric modeling system may determine a set of parameters for a parameterizable body model associated with a body type of the subject such that an application of the determined set of parameters to the body model may result in a parameterized body model that imitates a pose of the provisional 3D representation of the subject. Based on the provisional 3D representation and the parameterized body model, the volumetric modeling system may then generate a refined 3D representation of the subject in which the deficiency is mitigated. Corresponding methods and systems are also disclosed.