Specular Reflection Image Capture for Complex 3D Surfaces
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Solution Overview
Problem
Existing image capture systems struggle to capture specular reflection images of all surfaces of an imaging target, particularly when the target has a complex surface shape like a curved surface, making it difficult to determine the optimal positions for image capture.
Innovation Solution
An image capture system with a portable device containing a light source, camera, and distance measurer, assisted by a processor to identify and adjust position and orientation for specular reflection, enabling automatic or guided capture of images from all surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If images are captured from multiple positions to capture specular reflection images of all surfaces, then the completeness of the three-dimensional model is improved, but the complexity of determining capture positions increases
Solution Approach 1:
The system performs preliminary measurement of the imaging target's shape and material properties before capturing specular reflection images. The processor stores the measured shape data and material properties, then uses this pre-acquired information to automatically determine the optimal capture positions and orientations, eliminating the need for manual determination of capture positions during the actual imaging process.
Solution Approach 2:
The system enables self-service by automatically calculating and providing guidance on the optimal positions and orientations for capturing specular reflection images. The processor uses the pre-measured shape data and material properties to autonomously determine capture parameters, allowing the imaging system to serve itself without requiring manual intervention to determine capture positions.
2Ease of operation
If manual determination of capture positions is used, then the ease of operation is improved, but the productivity of capturing all surface images is reduced
Solution Approach 1:
The system implements feedback by providing real-time guidance information to the user based on the pre-measured shape data and material properties. The processor calculates the optimal capture positions and orientations, then feeds this information back to guide the user through the imaging process, ensuring that all surfaces are captured efficiently without requiring manual determination of capture positions.
Solution Approach 2:
The system performs preliminary measurement of the imaging target's shape and material properties before capturing specular reflection images. The processor stores the measured shape data and material properties, then uses this pre-acquired information to automatically determine the optimal capture positions and orientations, eliminating the need for manual determination of capture positions during the actual imaging process.
3Measurement precision
If the imaging target has a complex surface shape, then the accuracy of the three-dimensional model is improved, but the difficulty of capturing specular reflection images increases
Solution Approach 1:
The system performs preliminary measurement of the imaging target's shape and material properties before capturing specular reflection images. The processor stores the measured shape data and material properties, then uses this pre-acquired information to automatically determine the optimal capture positions and orientations, eliminating the need for manual determination of capture positions during the actual imaging process.
Solution Approach 2:
The system changes the approach by transforming the problem from manual position determination to automated calculation based on physical parameters. The processor uses the measured shape data and material properties to calculate the optimal capture parameters (positions and orientations), changing the methodology from empirical trial-and-error to parameter-based calculation, which simplifies the process despite the complex surface shape.
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 exhaustive capture of specular reflection images from all surfaces of a complex-shaped target, improving the accuracy and completeness of three-dimensional models by incorporating gloss states.
Implementation Method 1
a specular reflection image refers to an image captured in a state where light radiated from a light source is reflected from a certain part of an imaging target and specularly reflected light as a component of the reflected light is directly incident on a camera
Implementation Method 2
a measurer capable of measuring a distance between the image capturer and an imaging target and a shape of the imaging target
Data Source
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AI summary
An image capture system includes a portable image capturer including a light source, a camera, and a measurer capable of measuring a distance between the image capturer and an imaging target and a shape of the imaging target, and a processor configured to measure the distance between the image capturer and the imaging target and the shape of the imaging target, and assist a user in capturing specular reflection images when the image capturer has moved to a position and an orientation with which an area of a surface of the imaging target whose distance and shape have been measured is in a specular reflection condition at a time of capture of an image of the imaging target by the image capturer.