Single Camera Distance Measurement Using Eye Binocular Analysis
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Solution Overview
Problem
Existing distance measurement technologies require complex hardware structures, such as special light irradiation and multiple cameras, making them cumbersome for determining distances.
Innovation Solution
A method and device using a single camera to determine distance by capturing multiple images of a user's eyes, calculating binocular distances, and adjusting the image display based on these measurements, allowing for simplified distance determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional distance measurement methods (triangulation, TOF, phase-shift) are used, then distance measurement capability is achieved, but hardware complexity increases due to requirement of special light irradiation devices and multiple cameras
Solution Approach 1:
The patent extracts only the essential function of distance measurement from complex traditional systems and implements it using a single ordinary camera. By removing unnecessary components like special light irradiation devices and multiple cameras, the system achieves distance measurement capability with minimal hardware complexity, directly resolving the technical contradiction between measurement precision and device complexity.
Solution Approach 2:
The patent uses image processing to create a virtual representation of the user's eyes and calculates binocular distance by analyzing the positional relationship between eye images in captured photographs. This copying approach allows distance measurement without requiring physical complex hardware, as the system replicates the measurement function through software-based image analysis of a single camera's output.
2Measurement precision
If multiple cameras and special light irradiation are used for distance measurement, then accurate distance determination is achieved, but ease of operation deteriorates due to cumbersome hardware setup
Solution Approach 1:
The patent removes complex hardware components including multiple cameras and special light irradiation devices, retaining only the essential single camera for distance measurement. This extraction of unnecessary components dramatically simplifies the setup process while maintaining measurement accuracy through alternative image processing techniques, directly addressing the contradiction between precision and ease of operation.
Solution Approach 2:
The system uses the single camera to capture images that automatically contain the information needed for distance calculation. The image processing algorithm automatically analyzes the eye position and binocular distance without requiring manual configuration or complex hardware setup, enabling the system to serve itself and eliminating the need for user involvement in complex hardware arrangement.
3Device complexity
If a single camera is used for distance measurement, then device complexity is reduced, but measurement precision may deteriorate
Solution Approach 1:
The patent replaces traditional mechanical/optical distance measurement systems with an image processing-based system. Instead of using multiple cameras or special light irradiation hardware, the system uses a single camera to capture images and then applies computational algorithms to calculate binocular distance. This substitution of mechanical systems with software-based processing maintains measurement precision while dramatically reducing hardware complexity.
Solution Approach 2:
The system creates a virtual model of the user's eyes and calculates distance by analyzing the positional relationship between eye images in the captured photograph. This copying approach allows a single camera to provide sufficient measurement data by creating a digital representation of the eye structure, thereby maintaining precision without requiring complex physical hardware.
Data Source
AI summary
A method and device for determining a distance are provided. The method includes determining a first binocular distance between two eyes of a user by using a first image captured through a camera of the device, determining a second binocular distance between the two eyes of the user by using a second image captured through the camera, determining a distance from the camera to the two eyes of the user based on the first binocular distance and the second binocular distance, and providing an image to a display of the device, the image converted according to the distance from the camera to the two eyes of the user.