Imaging System Marker-Based Position Acquisition
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Solution Overview
Problem
Existing imaging systems face challenges in precisely associating detection results from multiple imaging devices due to insufficient positional information between them, leading to difficulties in accurately matching and integrating three-dimensional shape data.
Innovation Solution
An imaging system comprising multiple bodies with imagers and detectors that calculate shape and texture information, and a position acquirer to determine the positional relation between these devices using identification information, allowing for precise alignment and integration of data without the need for feature point matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple imaging devices are used to detect an object, then the completeness of three-dimensional shape data is improved, but the difficulty of associating detection results with high precision increases due to insufficient positional information
Solution Approach 1:
The patent introduces a marker as an intermediary object that is attached to the imaging device and detected by the camera. This marker serves as a mediator that carries positional information, allowing the system to determine the spatial relationship between the camera and imaging device without requiring complex direct measurement systems. The marker acts as a bridge that simplifies the positional association problem.
Solution Approach 2:
The patent creates a virtual model (copy) of the physical imaging device by detecting the marker's position and orientation. This virtual model replicates the spatial characteristics of the actual imaging device, allowing the system to work with simplified digital representations rather than complex physical measurements. The virtual camera model enables easier data processing and integration.
2Measurement precision
If feature point matching is used to integrate three-dimensional shape data, then the accuracy of data integration is improved, but the processing load increases significantly
Solution Approach 1:
The patent performs preliminary action by pre-establishing the positional relationship between the camera and imaging device through marker detection before conducting the actual three-dimensional shape measurement. By determining the camera's position and orientation in advance, the system eliminates the need for complex real-time feature point matching during data integration, significantly reducing processing load while maintaining accuracy.
Solution Approach 2:
The patent extracts the essential positional information from the complex feature point matching problem by using the marker to directly obtain camera position and orientation. This extraction approach isolates the critical spatial parameters needed for data integration, removing the computational burden of exhaustive feature point comparison while preserving the necessary accuracy for integrating three-dimensional shape data.
3Area of stationary object
If the field of view of the imager is increased to capture more objects, then the coverage area is improved, but the resolution of detected identification information deteriorates
Solution Approach 1:
The patent applies local quality by using a marker with high-contrast, easily recognizable features at specific locations (on the imaging device) rather than relying on uniform high resolution across the entire wide field of view. The marker's localized presence provides sufficient identification information even when the overall image resolution is reduced due to increased field of view coverage.
Data Source
AI summary
An imaging system, including: a first body; a first detector that is provided in the first body and includes a first imager that images an object; a first information calculator that is provided in the first body and uses a detection result of the first detector to calculate at least one of shape information and texture information of the object; a second body that is arranged at a position separate from the first body and has identification information detected by the first imager; a second detector that is provided in the second body and includes a second imager that images the object; and a position acquirer that acquires position information including a positional relation between the first detector and the second detector based on the identification information detected by the first imager.