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Target detection method and device for panoramic image, computer device and storage medium

A panoramic image and target detection technology, applied in the computer field, can solve problems affecting the detection effect of target detection and achieve the effect of improving accuracy

Pending Publication Date: 2022-02-01
SHENZHEN ARASHI VISION CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

However, due to the unique symmetry of BFoV, the detection area represented by it still cannot always well contain the oblique or deformed targets in the panoramic image, which affects the detection effect of target detection.

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  • Target detection method and device for panoramic image, computer device and storage medium
  • Target detection method and device for panoramic image, computer device and storage medium
  • Target detection method and device for panoramic image, computer device and storage medium

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Embodiment Construction

[0052] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0053] The applicant found that there is generally a phenomenon of panoramic distortion in the current panoramic images. Panoramic distortion refers to that during the scanning and imaging process of the panoramic image, since the image distance remains unchanged, the object distance increases with the increase of the scanning angle, thus Causes the scale on the image to gradually shrink from the center to both sides. Most of the existing target detection algorithms for panoramic images use the target's Bounding-Box (BBox) or Bounding Field-of-View (BFoV). However, in the...

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Abstract

The invention relates to a target detection method and device for a panoramic image, a computer device and a storage medium. The method comprises the steps of obtaining a to-be-detected panoramic image; carrying out convolution processing on the to-be-detected panoramic image through a convolutional neural network containing a preset target deformation adaptive convolution operator, obtaining the target category of a detection target in the to-be-detected panoramic image and the target boundary position point data, wherein the target boundary position point data comprises the target boundary position points whose coordinates exceed the boundary of the to-be-detected panoramic image; and obtaining a target detection result corresponding to the to-be-detected panoramic image according to the target category of the detection target and the target boundary position point data. According to the present invention, the areas of all detection targets including the detection targets arranged at the two ends of the panoramic image can be effectively determined, so that the target detection accuracy of the panoramic image is improved.

Description

technical field [0001] The present application relates to the field of computers, and in particular to a method, device, computer equipment and storage medium for target detection of panoramic images. Background technique [0002] With the development of artificial intelligence technology, computer vision technology has also been more and more widely used. Computer vision is a science that studies how to make machines "see". To put it further, it refers to using cameras and computers instead of human eyes to identify, track and measure targets, and further graphics processing, so that computer processing It becomes an image that is more suitable for human eyes to observe or sent to the instrument for detection. As a scientific discipline, computer vision studies related theories and technologies, trying to build artificial intelligence systems that can obtain 'information' from images or multidimensional data. The target detection of panoramic images is one of the research...

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Application Information

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IPC IPC(8): G06V20/20G06V10/46G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 林晓帆姜文杰
Owner SHENZHEN ARASHI VISION CO LTD