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SYSTEMS AND METHODS FOR OBJECT RECOGNITION BASED ON HUMAN VISUAL PATHWAY

机译:基于人眼视觉通路的物体识别系统及方法

摘要

Methods, systems, and storage media are described for detecting objects in image data are provided. In embodiments, a computing device may generate a plurality of blocks from a captured image. Each block may represent a corresponding region of the captured image. The computing device may extract a first feature from at least one block of the plurality of blocks; determine a second feature based at least on the first feature; and determine a third feature based on the second feature. The computing device may determine, as a matching image, a stored image from among a plurality of stored images including an object that has greatest maximum correlation with the third feature. Other embodiments may be described and/or claimed.
机译:描述了用于检测图像数据中的对象的方法,系统和存储介质。在实施例中,计算设备可以从捕获的图像生成多个块。每个块可以代表捕获图像的对应区域。计算设备可以从多个块中的至少一个块中提取第一特征。至少基于第一特征来确定第二特征;并基于第二特征确定第三特征。计算设备可以从包括与第三特征具有最大的最大相关性的对象的多个存储图像中确定存储图像作为匹配图像。可以描述和/或要求保护其他实施例。

著录项

  • 公开/公告号US2017193325A1

    专利类型

  • 公开/公告日2017-07-06

    原文格式PDF

  • 申请/专利权人 ADAPTIVE COMPUTATION LLC;

    申请/专利号US201514986057

  • 发明设计人 TUAN A. DUONG;

    申请日2015-12-31

  • 分类号G06K9/46;G06T7/20;G06K9/52;G06K9;G06K9/62;G06T3/40;

  • 国家 US

  • 入库时间 2022-08-21 13:47:15

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