Depth Imaging Flare Correction Using Infrared and Visible Light
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Solution Overview
Problem
Conventional depth acquisition devices face challenges in accurately measuring depth due to issues such as flare, ghosting, and luminance saturation, particularly when imaging conditions change, leading to incorrect depth estimation.
Innovation Solution
The proposed depth acquisition device uses a combination of infrared and visible light imaging, detecting flare regions in the infrared light image and correcting depth estimates based on both images to ensure accurate depth measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If depth is measured using infrared light imaging alone, then depth acquisition speed is improved, but measurement precision deteriorates due to flare, ghosting, and luminance saturation
Solution Approach 1:
The patent combines infrared light imaging and visible light imaging into a unified depth acquisition system. The processor integrates depth information from both imaging modes, using visible light image data to correct errors in infrared-based depth measurements, particularly in flare-affected regions, thereby resolving the contradiction between fast depth acquisition and accurate measurement
Solution Approach 2:
The visible light image acts as an intermediary to correct the infrared light image's depth measurement errors. By detecting flare regions in the infrared image and comparing them with corresponding regions in the visible light image, the system uses the visible light data as a mediator to supplement missing or erroneous depth information
2Difficulty of detecting and measuring
If infrared light intensity is increased to improve depth detection in low-light conditions, then depth detection capability is improved, but flare and luminance saturation occur worsening measurement accuracy
Solution Approach 1:
The visible light image serves as an intermediary that provides accurate depth information for regions where infrared imaging fails due to flare or saturation. The processor detects problematic regions in the infrared image and uses corresponding visible light data to correct depth estimates, maintaining measurement precision even when infrared intensity is increased
Solution Approach 2:
The patent converts the harmful effect of flare and luminance saturation into a useful correction mechanism. By detecting these artifacts in the infrared image and using visible light imaging to identify and correct the affected regions, the system turns measurement errors into opportunities for improved accuracy through multi-modal validation
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
This approach allows for precise depth estimation even in regions affected by flare, by leveraging the correlation between infrared and visible light images to supplement missing information and correct depth measurements.
Implementation Method 1
The light source irradiates the subject with light. The imager images the light reflected on the subject.
Implementation Method 2
detecting a flare region from the infrared light image
Implementation Method 3
acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light
Data Source
AI summary
A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.


