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Apparatus and method for performing sub-pixel vector estimations using quadratic approximations

机译:用于使用二次逼近执行亚像素矢量估计的设备和方法

摘要

To achieve the foregoing, and in accordance with the purpose of the present invention, an apparatus and method for generating refined sub-pixel vectors for motion estimation from vector correlation values and converged vector correlation values using quadratic approximations respectively is disclosed. The apparatus and method includes defining a minimum vector position value of a converged vector and then determining a predetermined number of vector correlation samples around the minimum vector position value. The predetermined number of vector correlation samples provide a coarse correlation surface estimation of the minimum vector position value. A correlation surface fitting of the predetermined number of vector correlation samples using a quadratic approximation of the coarse correlation surface estimation of the minimum value is then performed. The correlation surface fitting resulting in a refined sub-pixel minimum vector position with horizontal and vertical components.
机译:为了实现前述目的,并且根据本发明的目的,公开了一种用于分别使用二次逼近从矢量相关值和收敛矢量相关值生成用于运动估计的精炼子像素矢量的设备和方法。该设备和方法包括定义会聚矢量的最小矢量位置值,然后确定围绕最小矢量位置值的预定数量的矢量相关样本。预定数量的矢量相关样本提供了最小矢量位置值的粗略相关表面估计。然后使用最小值的粗相关表面估计的二次近似来执行预定数量的矢量相关样本的相关表面拟合。相关表面拟合导致具有水平和垂直分量的精炼子像素最小矢量位置。

著录项

  • 公开/公告号US7292283B2

    专利类型

  • 公开/公告日2007-11-06

    原文格式PDF

  • 申请/专利权人 STEVE SELBY;

    申请/专利号US20040990451

  • 发明设计人 STEVE SELBY;

    申请日2004-11-16

  • 分类号H04N7/01;H04N7/30;

  • 国家 US

  • 入库时间 2022-08-21 21:01:11

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