Four-Camera Planar Array Feature Point Matching
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Solution Overview
Problem
Current three-dimensional stereoscopic vision measurement technologies face challenges such as ambiguity in binocular matching without structured light, limited application scope due to the need for line lasers or structured light, and manual intervention required for identification points, which increase complexity and measuring errors.
Innovation Solution
A feature point matching method for a planar array of four cameras that identifies matching points across multiple imaging planes using specific conditions to ensure unique matching, allowing for three-dimensional measurement without calibration and under various illumination conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If binocular matching is performed without structured light or line laser, then the measurement process becomes simpler and less harmful to the measured object, but matching ambiguity occurs and measurement requirements cannot be met
Solution Approach 1:
The patent transitions from traditional binocular matching (2D image space) to four-camera planar array matching (3D spatial arrangement). By adding the fourth camera dimension, the system creates multiple baseline relationships that eliminate matching ambiguity without requiring structured light, thus resolving the contradiction between harmful effects and measurement precision.
Solution Approach 2:
The patent divides the measurement system into four separate cameras arranged in a planar array, each capturing images from different perspectives. This segmentation allows the system to process matching in multiple independent views, reducing ambiguity while avoiding the need for harmful structured light illumination.
2Measurement precision
If line laser or structured light is used to indicate matching points, then matching accuracy is improved and unique matching is realized, but the application scope is restricted and harmful effects on measured object occur
Solution Approach 1:
The four-camera planar array system uses its own geometric configuration and natural image features to achieve unique matching. The multiple cameras provide self-contained spatial information that eliminates the need for external structured light assistance, enabling the system to serve itself and expand application scope to include objects sensitive to light illumination.
3Measurement precision
If identification points are attached on the viewed object to improve matching accuracy, then matching precision is improved, but manual handling and intervention are required in advance
Solution Approach 1:
The system automatically extracts and matches features from natural image content captured by the four-camera array. The algorithm independently identifies corresponding points across views using the geometric constraints of the planar array configuration, eliminating the need for manual attachment of identification points and reducing process complexity.
Solution Approach 2:
The patent replaces the mechanical process of manually attaching identification points with an automated computational approach. The four-camera geometry and image processing algorithms substitute for manual intervention, achieving high matching accuracy through computational methods rather than physical modification of the measured object.
4Device complexity
If traditional binocular matching is used without additional constraints, then the measurement process is simpler, but matching ambiguity occurs and multiple points may be matched incorrectly
Solution Approach 1:
The patent adds the dimension of a fourth camera to the traditional binocular setup, creating a planar array configuration. This dimensional expansion provides multiple independent baseline relationships that constrain matching to unique solutions, eliminating ambiguity while maintaining reasonable system complexity.
Solution Approach 2:
The four-camera planar array creates asymmetric viewing geometries that provide distinctive spatial relationships for each camera pair. This asymmetry in the arrangement of cameras and their respective baselines ensures that each feature point has a unique matching signature across the four views, preventing ambiguous matches.
Data Source
AI summary
A feature point matching method of a planar array of a four-camera group and a measuring method based on the feature point matching method of the planar array of the four-camera group relate to the field of optical electronic measurement. The matching method comprises determining unique matching point groups on four imaging planes corresponding to the same viewed point. For each unique matching point group, three-dimensional space coordinates of the viewed point can be calculated according to image coordinates of the matching point group and parameters of the camera system itself. Under any illumination conditions, as long as the acquired image is clear enough, for any viewed object imaged on an image of a planar array of a four-camera group and having certain image features, using completely identical matching method and measuring method can realize three-dimensional measurement of the viewed object.