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Neural networks for cropping images based on body key points

机译:基于人体关键点的神经网络裁剪算法

摘要

Systems, methods and computer storage media for using body key points in received images and cropping rule representations to crop images are provided. Cropping configurations are received that specify characteristics of cropped images. Also obtained are images to crop. For a given image, a plurality of body key points is determined. A list of tuples is determined from the body key points and the cropping configurations. Each tuple includes a reference point, a reference length and an offset scale. A possible anchor level is calculated for each tuple. Each tuple sharing a common reference body key point is aggregated and a border representation is determined by calculating the minimum, maximum or average of all such possible anchor levels. The image is then cropped at the border representation. This process can be repeated for multiple border representations within a single image and/or for multiple images.
机译:本发明提供了用于在接收到的图像中使用身体关键点和裁剪规则表示来裁剪图像的系统、方法和计算机存储介质。将接收指定裁剪图像特征的裁剪配置。还获得了要裁剪的图像。对于给定图像,确定多个身体关键点。元组列表由主体关键点和裁剪配置确定。每个元组包括一个参考点、一个参考长度和一个偏移比例。为每个元组计算一个可能的锚级别。通过计算所有可能的参考点的平均值来确定每个参考点的公共边界。然后在边界表示处裁剪图像。对于单个图像中的多个边框表示和/或多个图像,可以重复此过程。

著录项

  • 公开/公告号US11295413B2

    专利类型

  • 公开/公告日2022-04-05

    原文格式PDF

  • 申请/专利权人 ADOBE INC.;

    申请/专利号US202016906990

  • 发明设计人 JIANMING ZHANG;

    申请日2020-06-19

  • 分类号G06T3/60;G06T3/40;G06K9/32;G06K9;

  • 国家 US

  • 入库时间 2022-08-25 00:20:27

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