Stereo Vision for Low-Texture Objects Using Color Texture
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Solution Overview
Problem
Existing methods for three-dimensional detection of objects with low texture or color are inefficient, particularly for moving objects, as they require complex constructions to maintain structured illumination, which complicates the process and limits throughput.
Innovation Solution
The use of at least two lighting devices emitting different colors, aligned from various directions to create a strong color texture on the object's surface, allowing for clear assignment of correspondence points and three-dimensional reconstruction without the need for structured illumination, using line scan cameras aligned transversely to the scanning direction and arranged in epipolar geometry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If structured illumination is used to create color texture on the object surface, then correspondence point assignment is improved, but device complexity increases due to the need for moving structured illumination systems
Solution Approach 1:
The patent extracts the structured illumination requirement by using the object's own surface properties (natural texture, color variations, geometric features) instead of projecting external structured patterns. This eliminates the need for complex moving projection systems while maintaining the ability to identify correspondence points through feature matching algorithms.
Solution Approach 2:
The object serves itself by providing natural surface features that can be used for stereo matching. The surface texture, color variations, and geometric characteristics of the object itself become the reference patterns for correspondence point assignment, eliminating the need for external structured illumination.
2Measurement precision
If structured illumination is used for three-dimensional detection, then measurement precision is improved, but productivity decreases due to complex device construction and movement requirements
Solution Approach 1:
The patent removes the structured illumination component entirely, using only the object's natural surface features for three-dimensional detection. This simplification enables higher detection throughput by eliminating the mechanical movement and calibration requirements of structured projection systems.
Solution Approach 2:
The patent replaces the mechanical structured illumination system with a static multi-camera setup that captures images from different viewpoints. The three-dimensional information is extracted through computational stereo vision algorithms rather than mechanical projection and scanning, significantly improving productivity.
3Measurement precision
If multiple cameras are used for stereo imaging, then three-dimensional reconstruction quality is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple cameras into a unified stereo imaging system with fixed geometric relationships. The cameras are positioned and calibrated together as an integrated unit, simplifying the overall device structure while maintaining high three-dimensional reconstruction quality through coordinated multi-view capture.
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
Enables real-time, high-throughput three-dimensional detection of objects with low texture or color, particularly suitable for metallic surfaces and objects with locally strong curvature, by generating a robust color texture that aids in correspondence point assignment and stereo reconstruction, simplifying the device construction by eliminating the need for moving structured illumination.
Implementation Method 1
at least two images of the object are created by means of at least one color camera from different recording directions
Implementation Method 2
at least two lighting devices, which are directed towards a recording area from different directions and emit light in different colors
Data Source
Figure 1~2
Figure 3
AI summary
The invention relates to a device for spatially capturing the surface of an object using stereo images, comprising at least one color camera aligned with a recording area for positioning the object, wherein the at least one color camera enables the capture of at least two images of the object at a triangulation angle. The invention further relates to a method for spatially capturing the surface of an object using stereo images. The device and the method enable the assignment of correspondence points even for objects with low inherent texture.