Transparent Object Imaging with Light Attenuation for 3D Point Clouds
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Solution Overview
Problem
Existing image capture techniques struggle to accurately acquire point cloud data of transparent objects due to difficulties in distinguishing local features from silhouette images.
Innovation Solution
An image pick-up device and method that includes an image picker to irradiate a subject with light and measure distance using reflected light, with a light weakener positioned to attenuate light passing through the subject, enhancing the reflected light and facilitating accurate point cloud data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a silhouette image capture method is used to estimate three-dimensional shape, then the estimation becomes less susceptible to background color and shadow influence, but point cloud data of transparent objects cannot be acquired and local features cannot be reproduced
Solution Approach 1:
A light weakener is introduced as an intermediary component between the light source and the transparent object. This light weakener attenuates the light passing through the transparent object, thereby enhancing the reflected light from the object's surface. This allows the image picker to capture both the silhouette information and the local surface features of transparent objects, resolving the contradiction between estimation reliability and point cloud data accuracy.
2Quantity of substance
If light passes through a transparent object to the image picker, then the image picker can capture the object, but the reflected light from the object surface is insufficient for accurate point cloud data acquisition
Solution Approach 1:
The light weakener converts the harmful effect of light transmission through the transparent object (which causes loss of reflected light information) into a beneficial effect. By intentionally weakening the transmitted light, the system enhances the reflected light from the object surface, making it possible to capture accurate point cloud data of transparent objects.
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
The solution effectively enhances the acquisition of point cloud data of transparent objects by reducing noise interference, thereby improving the accuracy and clarity of image capture.
Implementation Method 1
an image picker that irradiates a subject with light and measures a distance to the subject using reflected light of the light
Implementation Method 2
a light weakener that is disposed to face the image picker with the subject interposed between the light weakener and the image picker and weakens light that has passed through the subject
Data Source
AI summary
This image pick-up device comprises: an image pick-up unit that radiates light on a subject which is at least partially transparent or semi-transparent, and that measures the distance to the subject by using reflected light of the light, and a light attenuating unit disposed facing the image pick-up device with the subject interposed therebetween, and that attenuates light that has passed through the subject.