17735541. METHOD AND APPARATUS WITH POSE ESTIMATION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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METHOD AND APPARATUS WITH POSE ESTIMATION

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Hyun Sung Chang of Seoul (KR)

Seungeon Kim of Incheon (KR)

Minjung Son of Suwon-si (KR)

Wonhee Lee of Yongin-si (KR)

Kyungboo Jung of Seoul (KR)

Inwoo Ha of Seongnam-si (KR)

METHOD AND APPARATUS WITH POSE ESTIMATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17735541 titled 'METHOD AND APPARATUS WITH POSE ESTIMATION

Simplified Explanation

The abstract describes a method for pose estimation using depth data and normal vectors. The method involves determining the depth of a target scene with orthogonal planes, calculating normal vectors for the depth points, comparing the normal vectors to orientation candidates to determine the device's orientation, and calculating the device's position based on distances to the planes.

  • Determines depth data by sensing the depth of a target scene with orthogonal planes.
  • Calculates normal vectors corresponding to the depth points of the depth data.
  • Compares the normal vectors to orientation candidates to determine the orientation of a device.
  • Determines the position of the device based on the distances from the device to the planes.

Potential Applications

  • Augmented reality: Accurate pose estimation can enhance the realism and accuracy of virtual objects in augmented reality applications.
  • Robotics: This technology can be used in robotics to accurately determine the position and orientation of robotic devices.
  • Indoor navigation: By accurately determining the position and orientation of a device, this technology can be used for indoor navigation systems.

Problems Solved

  • Accurate pose estimation: The method solves the problem of accurately estimating the position and orientation of a device in a target scene.
  • Depth sensing: By sensing the depth of a target scene, the method overcomes the challenge of accurately determining the distances to the planes.

Benefits

  • Improved accuracy: By using depth data and normal vectors, the method provides more accurate pose estimation compared to traditional methods.
  • Real-time performance: The processor-implemented method allows for real-time pose estimation, making it suitable for applications that require fast and responsive tracking.
  • Versatility: The method can be applied to various scenarios and devices, making it a versatile solution for pose estimation.


Original Abstract Submitted

A processor-implemented method with pose estimation includes: determining depth data by sensing a depth of a target scene comprising planes orthogonal to each other; determining normal vectors corresponding to depth points of the depth data; determining orientation data of a device by comparing the normal vectors to orientation candidates; and determining position data of the device based on distances from the device to the planes.