3D Scene Scanning Using Invisible Light Characteristic Patterns
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Solution Overview
Problem
Current 3D scene modeling technologies face challenges in registering reconstructed models due to lack of shape variation or characteristic features, and merging depth data across larger fields of view, leading to incomplete reconstruction.
Innovation Solution
A scene scanning method and system that projects a characteristic pattern using invisible light, captures data with a sensing unit, and processes it to determine if the projecting unit needs rotation, ensuring complete data capture and accurate registration of 3D models by using a characteristic pattern with unique intersections and angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D shapes or 2D characteristics are used to register the reconstructed 3D scene model, then the registration can be performed, but the shape variation is insufficient or characteristics are missing which influences the registration result
Solution Approach 1:
The patent applies preliminary action by projecting a characteristic pattern onto the scene before capturing depth data. This pre-projection of known geometric features enables the sensing system to detect and use these predetermined characteristics for accurate registration and merging of multiple depth maps, overcoming the deficiency of natural scene characteristics.
2Area of stationary object
If the scene is scanned in batches to cover a larger field, then the whole 3D scene model can be reconstructed, but the depth data lacks characteristics which prevents merging of the scanned batches
Solution Approach 1:
The characteristic pattern is projected onto the scene before each batch of depth data is captured. This preliminary projection ensures that each scanned batch contains the same known geometric features, enabling accurate matching and merging of multiple batches to construct a complete large-area 3D model.
Solution Approach 2:
The characteristic pattern serves as an intermediary element that bridges multiple depth maps. By providing common reference features across all scanned batches, the pattern enables the processing system to accurately register and merge depth data from different viewing angles and positions.
3Illumination intensity
If a characteristic pattern is projected using invisible light, then the pattern can be captured without affecting the scene illumination, but the pattern needs to be distinguishable from the background
Solution Approach 1:
The patent uses invisible light (such as infrared) to project the characteristic pattern, which is undetectable to the human eye but can be captured by specialized sensors. This approach allows the pattern to be projected without affecting visible scene illumination while still being clearly distinguishable from the background through wavelength differentiation.
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
Enhances the accuracy and continuity of 3D model reconstruction by ensuring complete data capture and registration through the use of a characteristic pattern with unique intersections, allowing for effective merging of point clouds and reducing accumulated errors.
Implementation Method 1
projecting, by a characteristic projecting unit, a characteristic pattern by applying an invisible light in a scene
Implementation Method 2
capturing, by a sensing unit, a data of the scene and the characteristic pattern
Data Source
AI summary
A scene scanning method and a scene scanning system, adapted to obtain information for reconstructing a 3D model, are provided. The method comprises projecting, by a characteristic projecting unit, a characteristic pattern by applying an invisible light in a scene; capturing, by a sensing unit, a data of the scene and the characteristic pattern; and receiving, by a processing unit, the data of the scene and the characteristic pattern captured by the sensing unit.