3D Recognition Using Shared Wavelength Flood and Structured Light
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Solution Overview
Problem
Current 3D image recognition systems face challenges in accurately determining the true dimensions of objects, especially when a photograph is presented, as they rely on high-definition imaging which may fail and are often costly and energy-consuming due to the need for additional light sources in systems like stereo cameras, time-of-flight, or structured light imaging.
Innovation Solution
A 3D image recognition system utilizing a flood light source and a structured light source emitting light in the same wavelength range, typically infrared, with an imaging sensor to collect and process reflections for accurate 3D reconstruction and authentication, allowing concurrent or alternating illumination methods to differentiate between real objects and photographs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional stereo cameras with multiple RGB cameras are used to capture 3D images, then 3D imaging capability is achieved, but the cost increases to at least twice that of a regular camera
Solution Approach 1:
The patent combines flood light source and structured light source into a single illumination unit, and integrates the imaging sensor to capture both types of light reflections simultaneously or alternately. This merging approach achieves 3D imaging capability while reducing the number of separate components needed, thereby lowering manufacturing costs compared to traditional multi-camera stereo systems
2Measurement precision
If time-of-flight imaging systems or structured light imaging systems with artificial light sources are used, then depth information can be calculated, but the system becomes more energy consuming and costly
Solution Approach 1:
The system uses reflections from external light sources (flood light and structured light) that are already present in the environment, rather than requiring a continuous powerful artificial light source. The imaging sensor captures images from these reflected lights, allowing depth calculation through structured light pattern analysis without the need for energy-intensive active illumination, thus reducing overall energy consumption while maintaining depth measurement accuracy
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 enables effective 3D image recognition and authentication by accurately extracting depth information, distinguishing between real objects and photographs, while reducing costs and energy consumption by eliminating the need for multiple light sources and high-definition imaging requirements.
Implementation Method 1
The imaging sensor is configured to collect at least a first image from a reflection of the flood light source and at least a second image from a reflection of the structured light from the object
Data Source
AI summary
A three-dimensional (3D) image system recognition system includes a flood light source, a structured light source, and an imaging sensor. The flood light source and the structured light source emit lights in the substantially same wavelength range. The imaging sensor collects one or more images generated from a reflection of the flood light source, and collects one or more images generated from a reflection of the structured light source.