3D Shape Detection with Complementary Data Integration
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Solution Overview
Problem
Existing techniques for detecting three-dimensional shape information of objects face challenges in maintaining low loss of shape information, particularly in areas with low detection accuracy, such as those with high spatial frequencies or low light reflectance, leading to incomplete or inaccurate shape representation.
Innovation Solution
A detection device and method that combines first shape information generated from primary detection results with secondary shape information, obtained from different information sources, to enhance the accuracy and completeness of three-dimensional shape representation by integrating known or additional shape data, especially for regions with low detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light irradiation and detection is used to obtain three-dimensional shape information, then depth measurement capability is achieved, but shape information loss occurs in areas with low detection accuracy
Solution Approach 1:
The patent combines first shape information obtained from light irradiation and detection with second shape information from alternative sources (such as pre-stored models, other detection methods, or inferred data). The integration unit merges these complementary data sources to compensate for information loss in regions where primary detection accuracy is low, such as areas with high spatial frequencies or low light reflectance.
Solution Approach 2:
The patent introduces an integration unit that acts as an intermediary between the primary detection system and the final three-dimensional shape output. This unit receives both the directly detected shape information and supplementary shape information, then synthesizes them to produce a complete and accurate three-dimensional representation, mediating the gap between detection capabilities and information completeness.
2Measurement precision
If multiple detection methods are combined to reduce shape information loss, then measurement accuracy improves, but device complexity increases
Solution Approach 1:
The integration unit is designed with multi-functionality, serving as a universal processing component that can handle various types of shape information inputs (from light detection, pre-stored models, or other sources) and produce unified three-dimensional shape output. This universal approach avoids the need for separate specialized processing systems for each information source, thereby managing complexity while maintaining accuracy.
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 reduces the loss of shape information by integrating complementary shape data, improving the visibility and accuracy of three-dimensional models, particularly in areas with low detection reliability.
Implementation Method 1
a first detector 2 which irradiates light La onto the target object OB and detects light Lb emitted from the target object OB
Data Source
AI summary
A detection device includes: a first detector which irradiates light onto the target object and detects light emitted from the target object; a first shape information generator which generates first shape information representing a first shape of the target object on the basis of a detection result of the first detector; and a second shape information generator which adds a second shape, which is based on information different from the detection result of the first detector, to the first shape, and which generates second shape information representing a shape including the first shape and the second shape.