Bi-dimensionally Coded Light Pattern Projection for 3D Shape Accuracy
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Solution Overview
Problem
Current 3D geometric modeling and motion capture systems using coded light patterns face limitations in accurately determining the shape of objects due to issues with feature identification and correspondence, particularly in systems employing single or dual imaging methods.
Innovation Solution
A system that projects two rigidly shifted bi-dimensionally coded light patterns onto an object, where each pattern includes feature types formed by different formations of feature elements, allowing for the overlap of feature elements with inverse coding states, enabling high-accuracy range parameter determination through the processing of reflected images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single or dual coded light pattern is projected onto the object, then the system complexity is reduced, but the measurement precision and reliability of 3D shape determination deteriorate due to feature identification and correspondence issues
Solution Approach 1:
The patent divides the coded light pattern into multiple projections (first projection and second projection) with different rigid shifts. Each projection contains feature types that are segmented and distributed across different spatial locations. By segmenting the pattern into multiple projections rather than using a single complex pattern, the system improves feature identification reliability while maintaining manageable system complexity through systematic decomposition of the coding scheme.
Solution Approach 2:
The patent introduces an additional dimension by projecting multiple rigidly shifted versions of the coded pattern onto the object. Instead of relying on a single 2D coded pattern, the system uses multiple 2D patterns with different spatial offsets, effectively adding a dimensional aspect to the projection scheme. This multi-dimensional approach provides redundant feature information that improves 3D shape determination accuracy without proportionally increasing system complexity.
2Reliability
If multiple rigidly shifted projections are used, then the reliability of feature correspondence improves, but the device complexity and processing requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-defining the rigid shift relationships between multiple projections before actual measurement. The feature types and their spatial relationships are predetermined in the coding scheme, allowing the system to establish reliable correspondence rules in advance. This preliminary structuring of the projection geometry enables automatic feature matching without requiring complex real-time computation, thus improving reliability while controlling device complexity.
Solution Approach 2:
The patent uses inversion by creating projections with inverse or complementary feature coding states. The first projection and second projection contain feature types with opposite coding characteristics, allowing the system to cross-validate feature correspondence by comparing inverted patterns. This inversion strategy enhances reliability through mutual verification while maintaining manageable complexity through the systematic use of complementary coding schemes.
3Measurement precision
If feature types with inverse coding states are overlapped, then the measurement precision of range parameters improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent implements feedback by using the overlapping inverse coding states to cross-validate feature detection. The system detects features in the first projection, then uses the corresponding inverse features in the second projection to verify and refine the detection results. This feedback mechanism through inverse pattern comparison improves range parameter measurement precision while providing a systematic method to manage detection complexity through iterative verification.
Solution Approach 2:
The patent applies parameter changes by systematically varying the coding states of feature types across different projections. Instead of using identical patterns, the system changes the coding parameters (inverse states) of corresponding features in different projections. This parameter variation provides redundant measurement information that improves precision while maintaining detectability through the systematic nature of the parameter changes.
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 the accuracy of 3D shape determination by improving feature identification and correspondence, leading to more precise range parameter calculation and object modeling.
Implementation Method 1
a first reflection off an object which is associated with the first projection and a second reflection off the object which is associated with the second projection
Data Source
AI summary
Disclosed are methods, circuits, optical assemblies, devices, systems and associated computer executable code for estimating for three dimensional imaging. According to some embodiments, there may be provided a projector operable to project a bi-dimensionally coded pattern to provide a first projection of the bi-dimensionally coded pattern and a second projection of the bi-dimensionally coded pattern. The first projection and the second projection may be offset or rigidly shifted with respect to one another, such that a first reflection off an object which is associated with the first projection and a second reflection off the object which is associated with the second projection are provided. A signal corresponding to the first reflection and a signal corresponding to the second reflection may be co-processed.