Image-Based 3D Coordinate Measurement Without Calibration Plates
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Solution Overview
Problem
Existing distance measurement devices struggle to calculate three-dimensional coordinates of objects without the use of reference point members or calibration plates, particularly when these features are not present or cannot be irradiated with a laser beam.
Innovation Solution
An information processing device that derives imaging position distance and designated pixel real space coordinates based on captured images from different imaging positions, using pixel coordinates, focal length, and dimensions, even when a characteristic location cannot be irradiated with a laser beam.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reference point members and reference bars are used for three-dimensional coordinate calculation, then measurement accuracy is improved, but device complexity and ease of operation deteriorate due to the need to dispose and image these reference objects
Solution Approach 1:
The invention extracts the essential function of reference objects (providing known spatial positions for triangulation) and replaces physical reference objects with virtual reference points generated from image data itself. The imaging device captures images of the measurement target, and the processor identifies feature points in the images to serve as virtual references, eliminating the need to physically dispose and image separate reference objects while maintaining measurement accuracy
Solution Approach 2:
The imaging device performs multiple functions: it captures images of the measurement target, identifies feature points in those images, and uses those feature points for three-dimensional coordinate calculation. This multi-functionality eliminates the need for separate reference objects, as the same imaging device and images serve both as the measurement tool and as the reference system
2Measurement precision
If calibration plates with characteristic locations are irradiated with laser beams for three-dimensional position measurement, then measurement accuracy is improved, but ease of operation deteriorates when subjects lack such characteristic locations
Solution Approach 1:
The system uses the measurement target itself (or its image) to provide the reference information needed for measurement. The imaging device captures images of the target, identifies feature points in those images, and uses those same feature points for three-dimensional coordinate calculation. This self-service approach eliminates the need for external calibration plates or characteristic locations on the target
Solution Approach 2:
Instead of requiring physical calibration plates with characteristic locations, the system creates a copy of reference information from the image data itself. Feature points identified in the captured images serve as virtual reference points, copying the essential function of physical calibration marks without requiring their physical presence
3Measurement precision
If multiple cameras are used for three-dimensional measurement by triangulation, then measurement accuracy is improved, but device complexity and ease of operation worsen due to the need to calculate absolute positions and poses of multiple cameras
Solution Approach 1:
The invention merges the functions of multiple cameras into a single imaging device that captures images used for both target identification and reference point extraction. The processor integrates image data to identify feature points that serve as reference points for triangulation, combining what would otherwise require separate camera positioning and calibration steps into a unified process
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 accurate calculation of three-dimensional coordinates and imaging position distance without relying on reference points or calibration plates, enhancing measurement accuracy and efficiency.
Implementation Method 1
a distance from one of a position corresponding to the first imaging position and a position corresponding to the second imaging position to the subject, the distance being measured by emitting directional light, which has directivity, to the subject and receiving a reflected light of the directional light
Data Source
AI summary
Provided is an information processing device including an acquisition unit that acquires a first captured image, a second captured image, and a distance to a subject, and a derivation unit that derives an imaging position distance which is a distance between the first imaging position and the second imaging position, on the basis of a plurality of pixel coordinates for specifying a plurality of pixels of more than three pixels which are present in the same planar region as an emission position irradiated with the directional light beam on the real space and correspond to the position on the real space in each of the first captured image and the second captured image which are acquired by the acquisition unit, emission position coordinates which are derived on the basis of the distance acquired by the acquisition unit, a focal length of an imaging lens, and dimensions of imaging pixels.