Controlled Illumination for 3D Reconstruction of Reflective Objects
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Solution Overview
Problem
Existing 3D model reconstruction methods face challenges in accurately depicting objects with high reflection surfaces and self-light emitting elements due to significant light reflection and dynamic visibility issues, leading to degraded feature extraction and matching.
Innovation Solution
Control illumination using light sources emitting in low-reflection spectral ranges (e.g., IR, UV) and employing coherent light sources with timed light pulses, coupled with image sensors adapted to these ranges, to reduce reflection and enhance feature visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional illumination is used for 3D model reconstruction, then the process is simple, but high reflection surfaces cause degraded feature extraction and matching accuracy
Solution Approach 1:
The patent changes the spectral parameters of illumination by using multiple light sources with different spectral characteristics (including IR and UV ranges) to illuminate the object. This parameter change allows the system to find optimal illumination wavelengths that minimize reflection from high reflection surfaces while maximizing feature visibility, thereby resolving the contradiction between measurement precision and harmful reflection effects
Solution Approach 2:
The patent introduces spectral filters as intermediary components between the light sources and the object, and between the object and the image sensor. These filters mediate the interaction by selectively transmitting or blocking specific spectral ranges, allowing the system to control which wavelengths illuminate the object and which wavelengths are detected, thus reducing harmful reflections while maintaining feature extraction accuracy
2Measurement precision
If multiple spectral ranges are used for illumination, then reflection is reduced and feature visibility is enhanced, but device complexity increases
Solution Approach 1:
The patent designs the illumination system with light sources that can operate in multiple spectral ranges (visible, IR, UV) and spectral filters that can selectively transmit different wavelengths. This multi-functionality allows a single integrated system to handle various material types and reflection characteristics, enhancing feature visibility across diverse objects while managing device complexity through unified design rather than separate specialized systems
3Reliability
If spectral filters are deployed to filter out reflecting spectral ranges, then reflection artifacts are minimized, but device complexity and cost increase
Solution Approach 1:
The patent positions spectral filters as intermediary components in the optical path, between light sources and the object, and between the object and image sensor. These filters act as mediators that selectively control spectral transmission, minimizing reflection artifacts by blocking problematic wavelengths while allowing useful wavelengths to pass. This intermediary approach achieves high 3D model accuracy while keeping the filtering system integrated and manageable rather than overly complex
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
Improves the accuracy, veracity, and reliability of 3D models by minimizing reflection artifacts and dynamic visibility issues, resulting in high-quality 3D models with enhanced feature extraction and matching.
Implementation Method 1
Control illumination using light sources emitting in low-reflection spectral ranges (e.g., IR, UV)
Implementation Method 2
coupled with image sensors adapted to these ranges, to reduce reflection and enhance feature visibility
Data Source
AI summary
Disclosed herein is a method of improving computation of a 3 dimensional (3D) model of an object, comprising adjusting one or more illumination parameter of one or more light sources illuminating a target object having one or more high reflection surfaces, and operating one or more image sensors to capture a plurality of images depicting the target object from a plurality of different viewpoints while the object is illuminated by the one or more light sources. Wherein the plurality of images are used by one or more processors to compute a 3D model of the target object based on a plurality of features extracted from the plurality of images.