3D Space Measurement via Parallel Online-Offline Reconstruction
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Solution Overview
Problem
Current three-dimensional measurement systems require user expertise and manual intervention for optimal view arrangement, leading to suboptimal reconstructions and increased time expenditure.
Innovation Solution
A measurement device with a camera sensor arrangement capable of automatically generating low-resolution video recordings and high-resolution images, using real-time reconstruction to determine geometrically suitable positions for high-resolution image capture, and a computational unit for parallel processing and user guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual arrangement of individual views is used, then user expertise can guide the measurement process, but the reconstruction quality is suboptimal and time expenditure increases
Solution Approach 1:
The measurement device automatically determines optimal positions for capturing individual views using its own camera sensor and processing unit, eliminating the need for user expertise. The device performs real-time three-dimensional reconstruction, identifies geometrically suitable positions, and autonomously captures high-resolution images at these positions, thereby improving reconstruction quality while reducing time expenditure.
Solution Approach 2:
The system uses real-time three-dimensional reconstruction feedback to dynamically determine optimal capture positions. The processing unit continuously analyzes the reconstructed space geometry and provides feedback on where high-resolution images should be captured next, enabling adaptive optimization of the measurement process without user intervention.
2Measurement precision
If high-resolution images are captured at all positions, then reconstruction quality improves, but data size increases and real-time processing becomes impossible
Solution Approach 1:
The system applies different quality levels to different spatial locations. High-resolution images are captured only at geometrically suitable positions identified by the real-time reconstruction, while other positions use lower-resolution video recordings. This selective application of high quality where needed maintains reconstruction accuracy while enabling real-time processing.
Solution Approach 2:
Instead of capturing high-resolution images at all possible positions (excessive action), the system captures high-resolution images only at the necessary optimal positions (partial action). The processing unit identifies a subset of positions where high-resolution capture provides maximum benefit to reconstruction quality, thereby reducing overall data size while maintaining processing capability.
3Productivity
If low-resolution video recordings are used, then real-time processing is enabled, but reconstruction accuracy decreases
Solution Approach 1:
The system merges two data sources: low-resolution video recordings for real-time processing and frame-by-frame analysis, combined with selectively captured high-resolution images at optimal positions. This combination allows the system to maintain real-time processing capability while achieving high reconstruction accuracy through the complementary strengths of both recording modes.
Data Source
AI summary
A measurement apparatus for automatic three-dimensional measurement of space includes a camera sensor array that is configured to generate low-resolution video recordings. The camera sensor array is further configured to automatically generate high-resolution images at geometrically suitable positions in the space. Automatic recording of the high-resolution images is based on a three-dimensional real-time reconstruction of the video recordings. A measurement system includes the measurement apparatus and a corresponding method is implemented for the automatic three-dimensional measurement of the space.