3D Rear Surface Reconstruction from Limited Distance Camera Data
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Solution Overview
Problem
Existing three-dimensional information acquisition systems face challenges in generating accurate models of subjects with rear surfaces when using a limited number of distance measurement cameras, particularly for dynamic shapes, as they struggle to acquire and combine three-dimensional information in real time.
Innovation Solution
A three-dimensional information processing device that includes an image acquisition unit, distance information acquisition unit, boundary detection unit, and rear surface supplement processing unit to derive and supplement distance information on rear surfaces based on acquired data and boundary detection, using functional calculations to estimate missing data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If more distance measurement cameras are used to acquire three-dimensional information from multiple viewpoints, then the reproduction degree of three-dimensional information is improved, but the device complexity and resource requirements increase
Solution Approach 1:
The patent creates a virtual copy of the subject's rear surface by calculating and generating synthetic three-dimensional data based on the front surface information. Instead of physically placing cameras behind the subject, the system computationally generates what the rear surface would look like, effectively copying the necessary visual information through mathematical modeling rather than physical duplication.
Solution Approach 2:
The patent introduces a computer as an intermediary that processes and combines information from the limited cameras. The computer performs coordinate conversions, calculates relative positions, and generates synthetic rear surface data, acting as a mediator that compensates for the insufficient physical camera coverage and enables complete three-dimensional reconstruction from limited viewpoints.
2Loss of information
If more distance measurement cameras are used to capture dynamic three-dimensional shapes, then the completeness of three-dimensional information is improved, but the processing time and real-time capability deteriorate
Solution Approach 1:
The patent extracts only the essential information needed for rear surface reconstruction from the full set of camera data. By identifying and processing only the critical coordinate information and relative position data required to generate the virtual rear surface, the system avoids the computational burden of processing all possible camera inputs, enabling faster real-time processing while maintaining information completeness.
3Device complexity
If a single distance measurement camera is used to reduce resources, then the device complexity is reduced, but the ability to acquire rear surface information is lost
Solution Approach 1:
The patent transitions from physical spatial arrangement of cameras to computational dimensionality by generating virtual camera viewpoints through mathematical calculations. Instead of placing physical cameras in multiple positions, the system calculates what multiple viewpoint data would be by processing the single camera's output through coordinate transformations and synthetic image generation, effectively adding dimensional information through computation rather than physical deployment.
Data Source
AI summary
A three-dimensional information processing device includes an image acquisition unit configured to acquire an image obtained by imaging a subject, a distance information acquisition unit configured to acquire distance information to the subject, a boundary detection unit configured to detect a boundary between the subject and a background on the basis of the acquired image, and a rear surface supplement processing unit configured to derive a function indicating a change in a prescribed direction from the acquired distance information and supplement distance information on a rear surface of the subject on the basis of the derived function and a point on the detected boundary.