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    Coded objects and methods for detecting such coded objects
    8.
    发明授权
    Coded objects and methods for detecting such coded objects 失效
    用于检测这样的编码对象的编码对象和方法

    公开(公告)号：US6108612A

    公开(公告)日：2000-08-22

    申请号：US103265

    申请日：1998-06-23

    申请人： Marcos R. Vescovi ,  Michele M. Covell ,  Philippe P. Piernot ,  Malcolm G. Slaney ,  Steven E. Saunders

    发明人： Marcos R. Vescovi ,  Michele M. Covell ,  Philippe P. Piernot ,  Malcolm G. Slaney ,  Steven E. Saunders

    IPC分类号： G06K7/14 ,  G06K19/06

    CPC分类号： G06K7/1443 ,  G06K7/14

    摘要： Disclosed is a method of finding a reference object within a coded object having a plurality of regions. Each region has a plurality of subregions, and at least a majority of a first one of the subregions has a different color from a second one of the subregions. The reference object has a known relative position to other objects within the coded object so that the reference object is utilizable to locate the other objects within the coded object. A first one of the subregions within a selected one of the regions within the coded object is selected. A first region and a second region within the coded object are also selected. The selected first and second region form a plurality of subregion pairs. Each subregion pair includes a subregion from the seleced first region and a subregion from the selected second region. Luminosity values of the subregions within each subregion pair are compared. It is determined whether the selected subregion is the reference object based on the comparisons of the luminosity values for each subregion pair.

    摘要翻译： 公开了一种在具有多个区域的编码对象内找到参考对象的方法。 每个区域具有多个子区域，并且所述子区域中的第一个子区域的至少大部分具有与所述子区域中的第二子区域不同的颜色。 参考对象具有与编码对象内的其他对象相对的已知相对位置，使得参考对象可用于定位编码对象内的其他对象。 选择编码对象内所选择的一个区域内的第一个子区域。 还选择编码对象内的第一区域和第二区域。 所选择的第一和第二区域形成多个子区域对。 每个子区对包括来自所选择的第一区域的子区域和来自所选择的第二区域的子区域。 比较每个子区域内的子区域的亮度值。 基于每个子区域的亮度值的比较来确定所选择的子区域是否是参考对象。

    Estimation of head-related transfer functions for spatial sound representation
    9.
    发明授权
    Estimation of head-related transfer functions for spatial sound representation 有权
    用于空间声音表示的头相关传递函数的估计

    公开(公告)号：US07840019B2

    公开(公告)日：2010-11-23

    申请号：US11274013

    申请日：2005-11-14

    申请人： Malcolm Slaney ,  Michele Covell ,  Steven E. Saunders

    发明人： Malcolm Slaney ,  Michele Covell ,  Steven E. Saunders

    IPC分类号： H04R5/02 ,  H04R5/00

    CPC分类号： H04S1/002 ,  H04S2420/01

    摘要： The estimation of an HRTF for a given individual is accomplished by means of a coupled model, which identifies the dependencies between one or more images of readily observable characteristics of an individual, and the HRTF that is applicable to that individual. Since the HRTF is highly influenced by the shape of the listener's outer ear, as well as the shape of the listener's head, images of a listener which provides this type of information are preferably applied as an input to the coupled model. In addition, dimensional measurements of the listener can be applied to the model. In return, the model provides an estimate of the HRTF for the observed characteristics of the listener.

    摘要翻译： 对于给定个体的HRTF的估计是通过耦合模型来实现的，该模型识别个体容易观察到的特征的一个或多个图像与适用于该个体的HRTF之间的依赖关系。 由于HRTF受到听众的外耳的形状以及听众头部的形状的高度影响，所以提供这种类型的信息的收听者的图像优选地被应用于耦合模型的输入。 另外，听众的尺寸测量可以应用于模型。 作为回报，该模型提供了对于观察者的观察特征的HRTF的估计。

    Estimation of head-related transfer functions for spatial sound representative
    10.
    发明授权
    Estimation of head-related transfer functions for spatial sound representative 有权
    用于空间声音代表的头相关传递函数的估计

    公开(公告)号：US06996244B1

    公开(公告)日：2006-02-07

    申请号：US09369340

    申请日：1999-08-06

    申请人： Malcolm Slaney ,  Michele Covell ,  Steven E. Saunders

    发明人： Malcolm Slaney ,  Michele Covell ,  Steven E. Saunders

    IPC分类号： H04R5/02

    CPC分类号： H04S1/002 ,  H04S2420/01

    摘要： The estimation of an HRTF for a given individual is accomplished by means of a coupled model, which identifies the dependencies between one or more images of readily observable characteristics of an individual, and the HRTF that is applicable to that individual. Since the HRTF is highly influenced by the shape of the listener's outer ear, as well as the shape of the listener's head, images of a listener which provides this type of information are preferably applied as an input to the coupled model. In addition, dimensional measurements of the listener can be applied to the model. In return, the model provides an estimate of the HRTF for the observed characteristics of the listener.

    摘要翻译： 对于给定个体的HRTF的估计是通过耦合模型来实现的，该模型识别个体容易观察到的特征的一个或多个图像与适用于该个体的HRTF之间的依赖关系。 由于HRTF受到听众的外耳的形状以及听众头部的形状的高度影响，所以提供这种类型的信息的收听者的图像优选地被应用于耦合模型的输入。 另外，听众的尺寸测量可以应用于模型。 作为回报，该模型提供了对于观察者的观察特征的HRTF的估计。