Target Identification Through Controlled-Angle Texture Scattering
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Solution Overview
Problem
Existing image recognition techniques for identifying objects with similar macroscopic features, such as computer keyboards, are hindered by variations in ambient light and random texture features, leading to unreliable identification.
Innovation Solution
A method involving a light source with fixed irradiation intensity and a fixed relative position between the light source and image sensor captures images at varying angles, registering these images through homography transformation to generate a unique identification code based on surface texture scattering differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If ambient light and texture features are used for target identification, then identification can be performed on objects with similar macroscopic features, but the extracted texture features become random due to light variation, reducing identification reliability
Solution Approach 1:
The patent changes the lighting parameters by using a light source with fixed irradiation intensity and controlling the photographing angles to be within a predetermined range. This parameter control ensures that texture features are consistently extracted without random variations, thereby improving identification reliability while maintaining the capability to identify similar objects
Solution Approach 2:
The patent performs preliminary actions by pre-setting the light source intensity and angle constraints before texture feature extraction. By establishing these conditions in advance, the system ensures that texture features are captured under controlled conditions, preventing randomness in feature extraction and improving overall identification reliability
2Loss of information
If photographs are taken at different angles to capture surface texture features, then more comprehensive texture information is obtained, but the relative position between light source and image sensor varies, causing inconsistent lighting conditions
Solution Approach 1:
The patent establishes the fixed relative position relationship between the light source and image sensor as a preliminary condition before capturing images at different angles. This pre-set configuration ensures that lighting conditions remain consistent across multiple angle measurements, allowing comprehensive texture information to be captured without inconsistency
Solution Approach 2:
The patent creates an equipotential lighting environment by maintaining a fixed relative position between the light source and image sensor. This ensures that all images captured at different angles are illuminated under identical lighting conditions, eliminating variations that would otherwise occur with angle changes and enabling consistent texture feature extraction
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
Ensures consistent lighting conditions and accurate texture feature extraction, enabling reliable target identification and verification by processing differential angle images using a trained model.
Implementation Method 1
images obtained at a plurality of photographing angles truly reflect light scattering features on a surface texture of the target
Data Source
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AI summary
The present disclosure relates to a target identification method and an electronic device. The method comprises: irradiating a target to be identified by using a light source with constant light intensity and simultaneously capturing images of the target by using a camera to generate a plurality of image frames at different photographing angles, wherein an angle difference between photographing angles of two consecutive image frames is less than a predetermined value, and the light source and the camera maintain the same relative position relation at the different photographing angles; registering the plurality of image frames through homography transformation, and calculating a differential angle image of a current frame of image relative to a previous frame of image after registration, wherein the differential angle image represents a scattering difference of irradiation light on a surface texture of the target to be identified at different photographing angles; and processing a plurality of differential angle images generated based on the plurality of image frames to generate a unique identification code indicating the target to be identified.