18547892. CALIBRATION METHOD OF A PORTABLE ELECTRONIC DEVICE simplified abstract (Essilor International)

From WikiPatents
Jump to navigation Jump to search

CALIBRATION METHOD OF A PORTABLE ELECTRONIC DEVICE

Organization Name

Essilor International

Inventor(s)

Christophe Barbe of Clichy (FR)

David Encaoua of CARRIERES-SUR-SEINE (FR)

Hui Li of Clichy (FR)

CALIBRATION METHOD OF A PORTABLE ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18547892 titled 'CALIBRATION METHOD OF A PORTABLE ELECTRONIC DEVICE

Simplified Explanation

This patent application describes a method for calibrating the angles between the reference frames of an image acquisition module and an accelerometer in a portable electronic device.

Key Features and Innovation

  • Method involves capturing images of a known pattern from different positions and associating them with gravity data from the accelerometer.
  • Determines angles between the image acquisition module reference frame and the known pattern reference frame.
  • Calculates angles between the image acquisition module reference frame and the accelerometer reference frame based on the determined angles and assuming constant gravity.

Potential Applications

This technology can be used in portable electronic devices to ensure accurate alignment between the image acquisition module and the accelerometer, improving overall performance and accuracy in various applications such as augmented reality, navigation, and motion tracking.

Problems Solved

  • Ensures precise alignment between the image acquisition module and the accelerometer reference frames.
  • Enhances the reliability and accuracy of sensor data in portable electronic devices.

Benefits

  • Improved performance and accuracy in applications that rely on precise sensor data.
  • Enhanced user experience with more reliable and consistent results.
  • Simplified calibration process for portable electronic devices.

Commercial Applications

  • "Calibration Method for Determining Angles Between Image Acquisition Module Reference Frame and Accelerometer Reference Frame" can be utilized in smartphones, tablets, wearable devices, and other portable electronics to enhance the functionality and accuracy of various applications such as gaming, fitness tracking, and virtual reality experiences.

Questions about the Technology

How does this calibration method improve the performance of portable electronic devices?

This calibration method ensures accurate alignment between the image acquisition module and the accelerometer, leading to improved overall performance and accuracy in various applications.

What are the potential implications of this technology in the consumer electronics market?

This technology can lead to more reliable and accurate sensor data in consumer electronics, enhancing user experience and expanding the capabilities of devices in applications such as augmented reality and motion tracking.


Original Abstract Submitted

A calibration method for determining angles between an image acquisition module reference frame and an accelerometer reference frame of a portable electronic device. The method includes receiving a set of images of a known pattern from the image acquisition module of the portable electronic device from different positions, the known pattern being in the same spatial position when acquired, and each image being associated with gravity data corresponding to the measurement of gravity by the accelerometer of the portable electronic device expressed in the accelerometer reference frame, determining the angles between the image acquisition module reference frame and the known pattern reference frame based on the received pictures of the set of pictures, and determining the angles between the image acquisition module reference frame and the accelerometer reference frame based on the determined angles between the image acquisition module reference frame and the known pattern reference frame and assuming the gravity measured by the accelerometer is the same for each image.