Structured Light Projection Switching for Robust 3D Reconstruction
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Solution Overview
Problem
Existing structured light projection methods for three-dimensional reconstruction are limited by fixed projection image sets, which fail to optimize imaging quality for varying scenarios, leading to suboptimal reconstruction quality and robustness.
Innovation Solution
Implement a method and system that periodically or randomly switch different projection image groups to adapt to varying scenarios, using a projection device to project multiple image groups, an image sensor to capture images, and a reconstruction unit to determine corresponding relations for three-dimensional reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed projection image sets are used, then the projection device structure is simple, but the imaging quality cannot be optimized for varying scenarios
Solution Approach 1:
The patent implements dynamic switching between multiple projection image groups based on different measurement scenarios. The projection device transitions from a static fixed image set to a dynamic selectable image group system, where images are chosen according to the specific measurement requirements, thereby optimizing imaging quality without requiring a completely complex redesign of the projection device structure.
Solution Approach 2:
The projection image set is segmented into multiple distinct groups, each optimized for specific scenarios. This segmentation allows the system to select appropriate image groups for different measurement conditions, improving adaptability while maintaining relatively simple individual image group structures.
2Manufacturing precision
If fixed projection image sets are used, then the system is easy to operate, but the reconstruction quality is suboptimal for different scenarios
Solution Approach 1:
The system incorporates scenario identification feedback mechanisms that automatically select appropriate projection image groups based on the measurement scenario. This feedback loop maintains ease of operation by automating the selection process while significantly improving reconstruction quality through scenario-appropriate image selection.
Solution Approach 2:
The patent changes the parameter of projection image selection based on scenario requirements. By dynamically adjusting which image group is projected according to the specific measurement scenario, the system achieves high reconstruction quality without requiring complex manual operation, as the parameter change is automated based on scenario detection.
3Reliability
If a single projection image group is used, then the system complexity is low, but the robustness to changes in the object being measured is insufficient
Solution Approach 1:
The system dynamically switches between multiple projection image groups in response to detected changes in the object being measured. This dynamic adaptation enhances robustness by ensuring the appropriate image group is always used, while the complexity is managed through automated detection and selection mechanisms rather than manual intervention.
Solution Approach 2:
Multiple projection image groups are prepared in advance for different possible scenarios. This preliminary preparation allows the system to respond quickly and robustly to changes in the object being measured, selecting the appropriate pre-prepared image group without requiring complex real-time computation or system redesign.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances three-dimensional reconstruction quality and robustness by optimizing projection quality for different scenarios and quickly adapting to changes in the object being measured.
Implementation Method 1
The structured light-based grating fringe projection method projects specific encoded grating fringes, as projection images of the structured light, onto the surface of the object to be measured through a projection device
Implementation Method 2
captures reflected structured light which is modulated by the object surface via an image sensor, e.g., camera, to obtain imaged images
Data Source
AI summary
A projection method based on the three-dimensional scanning projection line of the structured light relates to three-dimensional information reconstruction technology field and comprises: switching different projection image groups periodically or randomly in three-dimensional measurements, to collect a plurality of continuous projection image groups (S101); projecting several images of the projection image group onto a surface of an object to be measured (S102); imaging projection images projected onto the surface of the object to be measured to obtain imaged images (S103); and decoding the imaged images and determining a corresponding relation between respective imaging positions and projection positions, to provide three-dimensional information for reconstructing the surface of the object to be measured (S104).