18618186. METHOD AND APPARATUS FOR RECOGNIZING ROD-SHAPED OBJECT IN IMAGE, COMPUTER DEVICE, AND STORAGE MEDIUM simplified abstract (TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED)

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METHOD AND APPARATUS FOR RECOGNIZING ROD-SHAPED OBJECT IN IMAGE, COMPUTER DEVICE, AND STORAGE MEDIUM

Organization Name

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor(s)

Haichuan Wang of Shenzhen (CN)

METHOD AND APPARATUS FOR RECOGNIZING ROD-SHAPED OBJECT IN IMAGE, COMPUTER DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18618186 titled 'METHOD AND APPARATUS FOR RECOGNIZING ROD-SHAPED OBJECT IN IMAGE, COMPUTER DEVICE, AND STORAGE MEDIUM

Simplified Explanation: The patent application describes a method and apparatus for recognizing rod-shaped objects in images by analyzing consecutive frames of images and determining the pose of the device capturing the images.

  • Initial rod-shaped object recognition results are obtained by detecting rod-shaped objects in multiple frames of consecutive images.
  • The method determines at least two frames where rod-shaped objects are present and calculates device pose data based on the images captured.
  • By projecting detection points from previous frames to a reference image, the same rod-shaped objects are recognized across frames.
  • Epipolar line search is used to project detection points to the reference image for accurate positioning processing based on matching points.

Key Features and Innovation:

  • Detection and recognition of rod-shaped objects in consecutive frames of images.
  • Determination of device pose data for accurate object recognition.
  • Projection of detection points for consistent object recognition across frames.
  • Epipolar line search for precise positioning processing based on matching points.
  • Integration of image acquisition device data for improved object recognition.

Potential Applications: This technology can be applied in various fields such as:

  • Object tracking in surveillance systems.
  • Industrial automation for quality control.
  • Medical imaging for identifying specific structures.
  • Robotics for object manipulation and navigation.
  • Augmented reality for enhanced visual recognition.

Problems Solved:

  • Accurate and consistent recognition of rod-shaped objects in images.
  • Efficient device pose determination for improved object tracking.
  • Seamless integration of image data for precise positioning processing.
  • Enhanced object recognition across consecutive frames for various applications.

Benefits:

  • Improved accuracy in identifying rod-shaped objects in images.
  • Enhanced device pose data for better object tracking.
  • Consistent recognition of objects across frames for reliable analysis.
  • Efficient positioning processing based on matching points for precise results.
  • Enhanced performance in surveillance, industrial automation, medical imaging, robotics, and augmented reality applications.

Commercial Applications: Title: Enhanced Object Recognition Technology for Surveillance and Automation Systems This technology can revolutionize surveillance systems, industrial automation processes, medical imaging techniques, robotics applications, and augmented reality experiences by providing accurate and reliable object recognition capabilities. The market implications include improved efficiency, enhanced security, and advanced automation in various industries.

Questions about Enhanced Object Recognition Technology: 1. How does this technology improve object recognition in surveillance systems? 2. What are the potential applications of this technology in medical imaging?


Original Abstract Submitted

A method and apparatus for recognizing a rod-shaped object in an image including determining, based on initial rod-shaped object recognition results obtained by performing rod-shaped object detection on a plurality of frames of consecutive images, at least two frames of consecutive images in which rod-shaped objects exist in the plurality of frames of consecutive images, determining device pose data based on an image acquisition device acquiring the at least two frames of consecutive images, projecting a detection point of the previous frame of image to the reference image, recognizing the same rod-shaped object in the reference image and the previous frame of image, projecting the detection point to the reference image through epipolar line search, and performing positioning processing on rod-shaped objects in the reference image based on matching points in which the epipolar line intersects with the fitting straight lines.

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