18609845. CAMERA INTRINSIC RE-CALIBRATION IN MONO VISUAL TRACKING SYSTEM simplified abstract (Snap Inc.)

CAMERA INTRINSIC RE-CALIBRATION IN MONO VISUAL TRACKING SYSTEM

Organization Name

Snap Inc.

Inventor(s)

Kai Zhou of Wiener Neudorf (AT)

CAMERA INTRINSIC RE-CALIBRATION IN MONO VISUAL TRACKING SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18609845 titled 'CAMERA INTRINSIC RE-CALIBRATION IN MONO VISUAL TRACKING SYSTEM

Simplified Explanation

The patent application describes a method for adjusting the intrinsic parameters of a camera in a visual tracking system based on the camera's temperature. When the camera exceeds a certain temperature threshold, the system identifies feature points in the initial image, instructs the user to move the system towards the border region of the image, and adjusts the camera's parameters accordingly.

• Accessing camera temperature
• Detecting temperature exceeding threshold
• Identifying feature points in central region
• Instructing user to move system towards border region
• Adjusting camera parameters based on matching feature points

Key Features and Innovation

• Temperature-based adjustment of camera intrinsic parameters
• User-friendly graphical interface for system calibration
• Dynamic feature point detection for accurate parameter adjustment

Potential Applications

This technology can be applied in various fields such as computer vision, robotics, augmented reality, and surveillance systems where accurate camera calibration is crucial for tracking and monitoring.

Problems Solved

• Ensures optimal camera performance under varying temperature conditions
• Improves accuracy of visual tracking systems by adjusting intrinsic parameters in real-time

Benefits

• Enhanced system reliability and accuracy
• Simplified user calibration process
• Improved performance in challenging environmental conditions

Commercial Applications

Title: Temperature-Based Camera Calibration for Visual Tracking Systems This technology can be utilized in industries such as security, automotive, and entertainment for enhancing the efficiency and accuracy of visual tracking systems. It can also be integrated into smart devices for improved camera performance.

Prior Art

Further research can be conducted in the field of camera calibration methods and temperature-based adjustments in visual tracking systems to explore existing technologies and innovations.

Frequently Updated Research

Researchers are continuously exploring new methods and technologies for improving camera calibration and visual tracking systems. Stay updated on the latest advancements in this field for potential enhancements to this technology.

Questions about Camera Intrinsic Parameter Adjustment

How does temperature affect camera intrinsic parameters?

Temperature can impact the performance of a camera by causing changes in its internal components, which can affect the accuracy of visual tracking systems. Adjusting the intrinsic parameters based on temperature variations can help maintain optimal performance.

What are the advantages of real-time adjustment of camera parameters?

Real-time adjustment of camera parameters allows for immediate calibration based on changing environmental conditions, ensuring accurate tracking and monitoring capabilities.

Original Abstract Submitted

A method for adjusting camera intrinsic parameters of a single camera visual tracking device is described. In one aspect, a method includes accessing a temperature of a camera of the visual tracking system, detecting that the temperature of the camera exceeds a threshold, in response identifying one or more feature points that are located in a central region of an initial image, generating a graphical user interface element that instructs a user of the visual tracking system to move the visual tracking system towards a border region of the initial image, and determining intrinsic parameters of the camera based on matching pairs of the one or more detected feature points in the border region and one or more projected feature points in the border region.