Three-Direction Structured Light Decoding for Depth Precision
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Solution Overview
Problem
Existing structured light pattern decoding methods are inadequate for small objects of high importance, as they typically encode information in one direction (horizontal or vertical), which is insufficient for precise depth calculation and feature detection.
Innovation Solution
The use of structured light patterns that can be decoded in three directions (vertical, horizontal, and diagonal) to improve feature detection and depth calculation by employing a pattern slide with features that can be analyzed using an index to determine the horizontal and vertical positions of features, and applying principles of epipolar geometry for accurate depth measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If one-dimensional decoding (horizontal or vertical) is used for structured light patterns, then the decoding process is simple, but the measurement precision and feature detection accuracy are insufficient for small objects
Solution Approach 1:
The patent transitions from one-dimensional decoding (horizontal or vertical only) to three-dimensional decoding by adding diagonal direction capability. The structured light pattern is designed with features that can be decoded along three directions (horizontal, vertical, and diagonal), providing redundant information that improves measurement precision for small objects while maintaining manageable decoding complexity through systematic processing methods
2Reliability
If three-direction decoding (vertical, horizontal, and diagonal) is employed, then the measurement precision and feature detection accuracy improve, but the device complexity and processing requirements increase
Solution Approach 1:
The patent applies different decoding strategies to different regions and features within the structured light pattern. High-priority small objects receive three-direction decoding with full redundancy, while other areas use standard one-dimensional decoding. This localized approach ensures high reliability for critical measurements without uniformly increasing system complexity across the entire field of view
Solution Approach 2:
The system implements three-direction decoding as an enhanced option rather than a universal requirement. The diagonal decoding capability is activated selectively for features requiring higher measurement precision, allowing the system to achieve improved reliability where needed while avoiding unnecessary complexity in regions where standard decoding suffices
Data Source
AI summary
Systems and methods may include utilizing a structured light pattern that may be, among other things, decoded in the three directions (e.g., vertical, horizontal, and diagonal). In one example, the method may include detecting a first feature of a target image in a return image, designating a feature type of the first feature, and an index with the letter, wherein the index is associated with the pattern slide. The method may also include calculating a horizontal position in the pattern slide of the first feature, calculating a vertical position in the pattern slide of the first feature, and calculating a depth of the first feature.