18452401. METHOD AND IMAGE PROCESSING ARRANGEMENT FOR ESTIMATING A LIKELY POSE IN RESPECT OF A SPATIAL REGION simplified abstract (HUAWEI TECHNOLOGIES CO., LTD.)

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METHOD AND IMAGE PROCESSING ARRANGEMENT FOR ESTIMATING A LIKELY POSE IN RESPECT OF A SPATIAL REGION

Organization Name

HUAWEI TECHNOLOGIES CO., LTD.

Inventor(s)

Onay Urfalioglu of Munich (DE)

METHOD AND IMAGE PROCESSING ARRANGEMENT FOR ESTIMATING A LIKELY POSE IN RESPECT OF A SPATIAL REGION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18452401 titled 'METHOD AND IMAGE PROCESSING ARRANGEMENT FOR ESTIMATING A LIKELY POSE IN RESPECT OF A SPATIAL REGION

Simplified Explanation

The abstract describes a method and arrangement for estimating the pose (position and orientation) of an image in a specific area using 2-D images and 3-D point locations.

  • The method involves identifying key features in the 2-D images and finding corresponding clusters of 3-D point locations.
  • The identified correspondence is then used to estimate the pose of the image processing arrangement relative to the spatial region.
  • A multi-match likelihood function is used to find the closest 2-D feature point for each 3-D point location among multiple possible key feature points.

Potential applications of this technology:

  • Augmented reality: Estimating the pose of an image processing arrangement can be useful in overlaying virtual objects onto real-world scenes.
  • Robotics: Determining the pose of an image processing arrangement can aid in navigation and object recognition tasks.
  • Computer vision: This technology can be used to estimate the pose of images for various computer vision applications, such as object tracking or scene reconstruction.

Problems solved by this technology:

  • Accurate pose estimation: The method provides a way to estimate the pose of an image processing arrangement in a spatial region using 2-D images and 3-D point locations.
  • Correspondence matching: By identifying key features and finding corresponding clusters, the method improves the accuracy of pose estimation.

Benefits of this technology:

  • Improved accuracy: By considering multiple possible key feature points, the method enhances the accuracy of pose estimation.
  • Versatility: The method can be applied to various applications that require pose estimation, such as augmented reality, robotics, and computer vision.
  • Efficiency: The use of a multi-match likelihood function allows for efficient estimation of pose by finding the closest feature points.


Original Abstract Submitted

There is provided a method for estimating a pose of an image in a spatial region and an image processing arrangement. The image processing arrangement is coupled to an imaging capturing arrangement configured to capture one or more 2-D images of a scene within the spatial region. The image processing arrangement is provided with spatial coordinates of a plurality of 3-D point locations within the spatial region. The method includes identifying key features present in 2-D images; identifying a correspondence of clusters of the plurality of 3-D point locations to key feature points present in the 2-D images; and from the identified correspondence, estimating the likely pose of the image processing arrangement relative to the spatial region by using a multi-match likelihood function that finds for each 3-D point location a closest 2-D feature point among k possible 2-D key feature points, where k is an integer greater than one.

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