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    • 7. 发明申请
    • METHOD OF ESTIMATING OPTICAL FLOW ON THE BASIS OF AN ASYNCHRONOUS LIGHT SENSOR
    • 基于异步光传感器估算光流的方法
    • US20140363049A1
    • 2014-12-11
    • US14366103
    • 2012-12-21
    • Universite Pierre et Marie Curie (Paris 6)Centre National de la Recherche Scientifique-CNRS
    • Ryad BenosmanSiohoi Ieng
    • G06K9/00
    • G06K9/00771G06T7/269
    • A computer receives asynchronous information originating from a light sensor (10) having a pixel matrix disposed opposite a scene. The asynchronous information comprises, for each pixel of the matrix, successive events originating from this pixel and depending on variations in light in the scene. For a place of estimation (p) in the matrix of pixels and an estimation time (t), the computer selects a set (Sp t) of events originating from pixels included in a spatial neighbourhood (πρ) of the place of estimation and which have occurred in a time interval (Θ) defined with respect to the estimation time, such that this set has at most one event per pixel of the spatial neighbourhood. The computer quantifies the variations in the times of occurrence of the events of the set selected as a function of the positions, in the matrix, of the pixels from which these events originate.
    • 计算机接收源自具有与场景相对设置的像素矩阵的光传感器(10)的异步信息。 对于矩阵的每个像素,异步信息包括源自该像素并依赖于场景中光的变化的连续事件。 对于像素矩阵中的估计位置(p)和估计时间(t),计算机选择源自包含在空间邻域(&pgr;&rgr;)中的像素的集合(Sp t) 并且其在相对于估计时间定义的时间间隔(θ)中发生,使得该集合在空间邻域的每像素中具有至多一个事件。 计算机根据这些事件产生的像素的矩阵位置的函数来量化所选择的集合的事件的出现次数的变化。
    • 9. 发明授权
    • Method of estimating optical flow on the basis of an asynchronous light sensor
    • 基于异步光传感器估计光流的方法
    • US09213902B2
    • 2015-12-15
    • US14366103
    • 2012-12-21
    • Universite Pierre et Marie Curie (Paris 6)Centre National de la Recherche Scientifique—CNRS
    • Ryad BenosmanSiohoi Ieng
    • G06K9/00G06T7/20
    • G06K9/00771G06T7/269
    • A computer receives asynchronous information originating from a light sensor (10) having a pixel matrix disposed opposite a scene. The asynchronous information comprises, for each pixel of the matrix, successive events originating from this pixel and depending on variations in light in the scene. For a place of estimation (p) in the matrix of pixels and an estimation time (t), the computer selects a set (Sp t) of events originating from pixels included in a spatial neighborhood (πρ) of the place of estimation and which have occurred in a time interval (Θ) defined with respect to the estimation time, such that this set has at most one event per pixel of the spatial neighborhood. The computer quantifies the variations in the times of occurrence of the events of the set selected as a function of the positions, in the matrix, of the pixels from which these events originate.
    • 计算机接收源自具有与场景相对设置的像素矩阵的光传感器(10)的异步信息。 对于矩阵的每个像素,异步信息包括源自该像素并依赖于场景中光的变化的连续事件。 对于像素矩阵中的估计位置(p)和估计时间(t),计算机选择源自包含在空间邻域(&pgr; rgr)中的像素的集合(Sp t) 并且其在相对于估计时间定义的时间间隔(θ)中发生,使得该集合在空间邻域的每像素中具有至多一个事件。 计算机根据这些事件产生的像素的矩阵位置的函数来量化所选择的集合的事件的出现次数的变化。