Snap inc. (20240289988). INTRINSIC PARAMETERS ESTIMATION IN VISUAL TRACKING SYSTEMS simplified abstract
Contents
INTRINSIC PARAMETERS ESTIMATION IN VISUAL TRACKING SYSTEMS
Organization Name
Inventor(s)
Clemens Birklbauer of Vienna (AT)
Georg Halmetschlager-funek of Vienna (AT)
Matthias Kalkgruber of Vienna (AT)
Kai Zhou of Wiener Neudorf (AT)
INTRINSIC PARAMETERS ESTIMATION IN VISUAL TRACKING SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240289988 titled 'INTRINSIC PARAMETERS ESTIMATION IN VISUAL TRACKING SYSTEMS
Simplified Explanation: The patent application describes a method for adjusting the camera intrinsic parameters of a multi-camera visual tracking device. This method involves calibrating the system by disabling one camera while another is enabled, detecting features in images, and correcting intrinsic parameters based on these features.
- Disabling one camera while another is enabled
- Detecting features in images
- Correcting intrinsic parameters based on detected features
Key Features and Innovation:
- Calibration of multi-camera visual tracking system
- Disabling and enabling cameras for calibration
- Detecting features in images for calibration
- Correcting intrinsic parameters based on detected features
Potential Applications:
- Visual tracking systems
- Surveillance systems
- Robotics
- Augmented reality
Problems Solved:
- Ensuring accurate camera calibration
- Improving tracking accuracy
- Enhancing overall system performance
Benefits:
- Improved accuracy in visual tracking
- Enhanced system performance
- Increased reliability in tracking devices
Commercial Applications: Title: "Camera Intrinsic Parameter Adjustment Method for Visual Tracking Devices" This technology can be used in various industries such as surveillance, robotics, and augmented reality for enhancing tracking accuracy and system performance. The market implications include improved efficiency in visual tracking systems leading to better outcomes in surveillance and robotics applications.
Questions about Camera Intrinsic Parameter Adjustment Method for Visual Tracking Devices: 1. How does the method of disabling and enabling cameras contribute to the calibration process? 2. What are the potential implications of this technology in the field of augmented reality?
1. A relevant generic question not answered by the article, with a detailed answer: How does the temperature of the camera affect the calibration process? The temperature of the camera can impact the calibration process as it needs to be within a certain threshold for accurate calibration to occur. If the temperature is too high or too low, it may affect the detection of features in the images, leading to incorrect intrinsic parameter adjustments.
2. Another relevant generic question, with a detailed answer: What are the advantages of correcting intrinsic parameters based on detected features in images? Correcting intrinsic parameters based on detected features allows for more accurate calibration of the cameras, leading to improved tracking accuracy and overall system performance. This method ensures that the cameras are properly calibrated to provide reliable tracking results.
Original Abstract Submitted
a method for adjusting camera intrinsic parameters of a multi-camera visual tracking device is described. in one aspect, a method for calibrating the multi-camera visual tracking system includes disabling a first camera of the multi-camera visual tracking system while a second camera of the multi-camera visual tracking system is enabled, detecting a first set of features in a first image generated by the first camera after detecting that the temperature of the first camera is within the threshold of the factory calibration temperature of the first camera, and accessing and correcting intrinsic parameters of the second camera based on the projection of the first set of features in the second image and a second set of features in the second image.
