2D 3D Object Dimension Identification via Multi-Focal Resolution Analysis
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Solution Overview
Problem
Security surveillance and face recognition systems face difficulties in distinguishing between two-dimensional and three-dimensional objects, particularly human faces, leading to potential false identifications when high-definition images are used, as they cannot determine if the face is real or fake.
Innovation Solution
A method utilizing a camera system with adjustable focal lengths to capture images at different focus positions, comparing the resolutions of these images to determine if the subject is two-dimensional or three-dimensional, by focusing on various parts of the subject and analyzing pixel changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera system uses high-definition imaging to capture subject details, then image quality and resolution are improved, but the system cannot distinguish between two-dimensional and three-dimensional objects leading to false identification
Solution Approach 1:
The patent transitions from analyzing only two-dimensional image resolution to incorporating depth information by capturing images at multiple focal lengths. This dimensional extension allows the system to distinguish between 2D and 3D objects by detecting focus variations across different depth planes, thereby resolving the inability to differentiate object dimensions while maintaining high image quality
Solution Approach 2:
The system changes the focal length parameter of the camera to capture the same subject at multiple focus positions. By varying this optical parameter and analyzing the resulting focus variations in captured images, the system can determine whether the subject is two-dimensional or three-dimensional, thus improving identification reliability without sacrificing image resolution
2Reliability
If the camera focuses on different positions with different focal lengths to capture images, then the ability to distinguish object dimensions is improved, but the system complexity and processing time increase
Solution Approach 1:
The camera system is designed to perform multiple functions: capturing high-definition images for quality assessment and varying focal lengths for depth analysis. This multi-functionality allows a single system to achieve both high image quality and accurate dimension identification without requiring separate dedicated devices, thereby managing system complexity while improving reliability
Solution Approach 2:
The system pre-establishes a plurality of focus positions before actual identification occurs. By preparing multiple focal length settings in advance and systematically capturing images at each position, the system streamlines the identification process and reduces real-time processing complexity while maintaining high dimension identification 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 method allows for rapid identification of object dimensions, preventing false identifications by distinguishing between two-dimensional and three-dimensional objects, enhancing the security and accuracy of surveillance and recognition systems.
Implementation Method 1
using the photo shooting unit to focus on some positions respectively having different field depths on a shot subject and to capture some images of the focused positions on the shot subject
Data Source
AI summary
The present invention relates to a method for identifying dimensions of shot subject, implemented on an identification system including a photo shooting unit capable of adjusting focal lengths. The method includes steps of using the photo shooting unit to focus on plural positions respectively having different field depths on a shot subject and respectively capture a image thereof, determining whether resolutions of the captured images are same, and if so, the shot subject is a two dimensional object, otherwise, the shot subject is a three dimensional object.