Single Camera Spatial Positioning via Marking Point Shape Analysis
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Solution Overview
Problem
Current spatial positioning technologies for VR/AR require multiple visible/infrared cameras and light sources with varying brightness, increasing hardware costs and complexity.
Innovation Solution
A single camera-based spatial positioning method that determines the positions and numbers of marking points by analyzing their sizes, shapes, and relative positional relationships, eliminating the need for varying brightness and reducing hardware requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple cameras and light sources with varying brightness are used for spatial positioning, then positioning accuracy is improved, but hardware cost and system complexity increase
Solution Approach 1:
The patent extracts and eliminates the complex hardware components (multiple cameras and variable brightness light sources) from the positioning system. Instead, it uses a single camera combined with marking points that have distinct shape and size features, thereby maintaining positioning accuracy while significantly reducing hardware complexity
Solution Approach 2:
The patent uses marking points with specific shape and size characteristics as simplified copies of the traditional light source system. These marking points capture the essential identification function without requiring complex optical hardware, achieving the same positioning purpose with simpler means
2Reliability
If multiple cameras and varying brightness light sources are used, then positioning reliability is improved, but manufacturing cost increases
Solution Approach 1:
The patent replaces expensive, complex hardware (multiple cameras and controlled light sources) with inexpensive marking points that have distinct shape and size features. These marking points can be simple visual markers that are much cheaper to manufacture while maintaining sufficient reliability for spatial positioning
3Device complexity
If marking points are identified based on size and shape features using a single camera, then hardware cost is reduced, but identification complexity increases
Solution Approach 1:
The patent applies local quality by giving each marking point distinct shape and size characteristics that make them easily distinguishable. This local differentiation simplifies the identification process compared to identifying identical markers, as the unique features provide clear identification cues for the single camera system
Data Source
AI summary
A spatial positioning method, a spatial positioning device, a spatial positioning system, and a computer readable storage medium are disclosed. The spatial positioning method includes: acquiring a two-dimensional image of an object to be positioned having a plurality of marking points, the two-dimensional image comprising a plurality of marking point images in one-to-one correspondence with the plurality of marking points; determining a correspondence between the plurality of marking points and the plurality of marking point images according to a relative positional relationship among the plurality of marking points and a relative positional relationship among the plurality of marking point images; and determining at least one spatial degree of freedom of the object to be positioned according to the relative positional relationship among the plurality of marking points, the relative positional relationship among the plurality of marking point images, and the correspondence between the plurality of marking points and the plurality of marking point images.