Panoramic image segmentation method and device and electronic equipment

A panorama image and background image technology, applied in the field of image processing, can solve the problem of low accuracy of panorama segmentation, and achieve the effects of reducing model calculation amount, improving segmentation speed, and reducing feature redundancy.

Active Publication Date: 2020-06-16
BEIJING HORIZON ROBOTICS TECH RES & DEV CO LTD
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  • Claims
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Problems solved by technology

However, the accuracy of panoramic segmentation is not high at present.

Method used

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  • Panoramic image segmentation method and device and electronic equipment
  • Panoramic image segmentation method and device and electronic equipment
  • Panoramic image segmentation method and device and electronic equipment

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Embodiment Construction

[0041] Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here.

[0042] Application overview

[0043] As mentioned above, there has been an increasing amount of research on panoptic segmentation in recent years. Panoramic segmentation refers to a comprehensive understanding of the image, which integrates the content of semantic segmentation and instance segmentation, that is, assigns semantic labels and instance labels to each pixel in the image, and pixels with the same semantic and instance labels belong to the same target . In the prior art, the panorama segmentation technology mainly uses the instance segmentation ...

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Abstract

The invention discloses a panoramic image segmentation method, and the method comprises the steps: extracting a multi-scale feature map of an input image, and extracting a region candidate box from the multi-scale feature map; extracting a region candidate feature map from the multi-scale feature map according to a region candidate box, and segmenting a foreground image from the region candidate feature map; determining a foreground feature map and a background feature map based on the multi-scale feature map; determining a background combined feature map based on the foreground feature map and the background feature map, and segmenting a background image from the background combined feature map; and obtaining a panoramic segmentation image according to the foreground image and the background image. The high-precision panoramic segmentation image can be quickly obtained.

Description

technical field [0001] The present application relates to a panoramic image segmentation method, device and electronic equipment, belonging to the field of image processing. Background technique [0002] At present, computer vision is one of the hottest research fields in the field of deep learning, which mainly recognizes specific things by segmenting images. Two commonly used segmentation methods are semantic segmentation and instance segmentation. Semantic segmentation is often used to identify irregular things, such as sky and grass. Since such objects have no specific shape and are uncountable, semantic segmentation refers to assigning a semantic label to each pixel. Instance segmentation is often used to identify objects that can be counted, such as people and animals. Such objects have a specific shape, so instance segmentation means detecting each object, outlining its shape with a bounding box or segmentation mask, and assigning an instance label to each instance...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/194G06N3/04
CPCG06T7/11G06T7/194G06T2207/20084G06N3/045Y02D10/00
Inventor 李彦玮陈新泽黄冠
Owner BEIJING HORIZON ROBOTICS TECH RES & DEV CO LTD
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