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    • 1. 发明授权
    • Method and apparatus for qualitative spatiotemporal data processing
    • 定性时空数据处理的方法和装置
    • US06535620B2
    • 2003-03-18
    • US09803774
    • 2001-03-12
    • Richard Patrick WildesJames Russell Bergen
    • Richard Patrick WildesJames Russell Bergen
    • G06K900
    • G06K9/00335G06T7/262
    • The present invention is embodied in a method for representing and analyzing spatiotemporal data in order to make qualitative yet semantically meaningful distinctions among various regions of the data at an early processing stage. In one embodiment of the invention, successive frames of image data are analyzed to classify spatiotemporal regions as being stationary, exhibiting coherent motion, exhibiting incoherent motion, exhibiting scintillation and so lacking in structure as to not support further inference. The exemplary method includes filtering the image data in a spatiotemporal plane to identify regions that exhibit various spatiotemporal characteristics. The output data provided by these filters is then used to classify the data.
    • 本发明体现在一种用于表示和分析时空数据的方法,以便在早期处理阶段在数据的各个区域之间进行定性但语义上的有意义的区别。 在本发明的一个实施例中,分析连续的图像数据帧以将时空区域分类为静止的,表现出相干运动,表现出非相干运动,呈现闪烁,因此缺乏结构,从而不支持进一步的推断。 示例性方法包括在时空平面中对图像数据进行过滤,以识别表现出各种时空特征的区域。 然后使用这些过滤器提供的输出数据对数据进行分类。
    • 2. 发明申请
    • System and Method for Providing Mobile Range Sensing
    • 提供移动范围感知的系统和方法
    • US20080247602A1
    • 2008-10-09
    • US11860650
    • 2007-09-25
    • John Richard FieldsJames Russell BergenGarbis Salgian
    • John Richard FieldsJames Russell BergenGarbis Salgian
    • G06K9/00
    • G06K9/209G06K2209/40G06T7/246G06T7/596G06T2207/10016G06T2207/30188G06T2207/30241G06T2207/30252
    • The present invention provides an improved system and method for estimating range of the objects in the images from various distances. The method comprises receiving a set of images of the scene having multiple objects from at least one camera in motion. Due to the motion of the camera, each of the images are obtained at different camera locations Then an object visible in multiple images is selected. Data related to approximate camera positions and orientations and the images of the visible object are used to estimate the location of the object relative to a reference coordinate system. Based on the computed data, a projected location of the visible object is computed and the orientation angle of the camera for each image is refined. Additionally, pairs of cameras with various locations can then be chosen to obtain dense stereo for regions of the image at various ranges. The process is further structured so that as new images arrive, they are incorporated into the pose adjustment so that the dense stereo results can. be updated.
    • 本发明提供了一种用于估计来自各种距离的图像中的对象的范围的改进的系统和方法。 该方法包括从运动中的至少一个摄像机接收具有多个对象的场景的一组图像。 由于相机的运动,在不同的相机位置获得每个图像然后选择在多个图像中可见的对象。 与近似相机位置和方向有关的数据以及可见对象的图像用于估计对象相对于参考坐标系的位置。 基于计算的数据,计算可见对象的投影位置,并且改善每个图像的相机的取向角度。 此外,可以选择具有各种位置的成对的相机以获得在各种范围内的图像区域的致密立体声。 该过程被进一步构造,使得当新图像到达时,它们被并入姿态调整中,使得密集立体结果可以。 被更新。
    • 3. 发明授权
    • System and method for providing mobile range sensing
    • 提供移动距离感测的系统和方法
    • US08428344B2
    • 2013-04-23
    • US13242533
    • 2011-09-23
    • John Richard FieldsJames Russell BergenGarbis Salgian
    • John Richard FieldsJames Russell BergenGarbis Salgian
    • G06K9/00
    • G06K9/209G06K2209/40G06T7/246G06T7/596G06T2207/10016G06T2207/30188G06T2207/30241G06T2207/30252
    • The present invention provides an improved method for estimating range of objects in images from various distances comprising receiving a set of images of the scene having multiple objects from at least one camera in motion. Due to the motion of the camera, each of the images are obtained at different camera locations. Then an object visible in multiple images is selected. Data related to approximate camera positions and orientations and the images of the visible object are used to estimate the location of the object relative to a reference coordinate system. Based on the computed data, a projected location of the visible object is computed and the orientation angle of the camera for each image is refined. Additionally, pairs of cameras with various locations can obtain dense stereo for regions of the image at various ranges.
    • 本发明提供一种用于估计来自各种距离的图像中的对象的范围的改进方法,包括从运动中的至少一个照相机接收具有多个对象的场景的一组图像。 由于相机的运动,每个图像都是在不同的相机位置获得的。 然后选择多个图像中可见的对象。 与近似相机位置和方向有关的数据以及可见对象的图像用于估计对象相对于参考坐标系的位置。 基于计算的数据,计算可见对象的投影位置,并且改善每个图像的相机的取向角度。 此外,具有各种位置的成对的相机可以在各种范围内为图像的区域获得致密的立体声。
    • 4. 发明申请
    • METHOD OF PUPIL SEGMENTATION
    • PUPIL分段方法
    • US20120275664A1
    • 2012-11-01
    • US13096716
    • 2011-04-28
    • James Russell Bergen
    • James Russell Bergen
    • G06K9/00
    • G06K9/00597
    • A method of pupil segmentation in a digital image of a vertebrate eye, said image being an intensity image composed of pixels having each a specific intensity value, the method comprising the steps of: deriving a texture image from the intensity image, said texture image being composed of pixels having each a specific contrast value; forming a combined image by point-wise combining the intensity image with the texture image, identifying a set of pixels in the combined image which fulfill a combined low-intensity and low-contrast criterion; and approximating a boundary of said set by a convex curve and taking said convex curve as a boundary of the pupil.
    • 一种在脊椎动物眼睛的数字图像中的瞳孔分割方法,所述图像是由具有特定强度值的像素组成的强度图像,所述方法包括以下步骤:从强度图像导出纹理图像,所述纹理图像为 由具有特定对比度值的像素组成; 通过将强度图像与纹理图像进行逐点组合来形成组合图像,识别组合图像中满足组合的低强度和低对比度标准的一组像素; 并且通过凸曲线逼近所述组的边界,并将所述凸曲线作为瞳孔的边界。
    • 6. 发明授权
    • Method of generating a normalized digital image of an iris of an eye
    • 产生眼睛虹膜的归一化数字图像的方法
    • US08639058B2
    • 2014-01-28
    • US13096735
    • 2011-04-28
    • James Russell BergenOleg Naroditsky
    • James Russell BergenOleg Naroditsky
    • G06K9/36
    • G06K9/00597
    • The present invention pertains to a method of generating a normalized digital image of an iris of an eye for the purpose of creating an iris code for identification of vertebrates, including humans, the method comprising the steps of: capturing one or more digital images of the eye with a camera; constructing a plurality of imaginary outer iris boundaries in the one or more digital images, based on a known dimension of the outer iris boundary of the eye of a given species of vertebrates; and using said imaginary boundaries for transforming the one or more digital images into a plurality of normalized iris image that are insensitive to variations in a dimension of a pupil of the eye.
    • 本发明涉及一种生成眼睛虹膜的归一化数字图像的方法,其目的在于创建用于识别包括人在内的脊椎动物的虹膜码,该方法包括以下步骤:捕获一个或多个数字图像 眼睛用相机; 基于给定种类的脊椎动物的眼睛的外部虹膜边界的已知尺寸,在所述一个或多个数字图像中构造多个假想外部虹膜边界; 以及使用所述虚拟边界将所述一个或多个数字图像变换成对眼睛的瞳孔的尺寸的变化不敏感的多个标准化的虹膜图像。
    • 7. 发明申请
    • METHOD OF CAPTURING IMAGE DATA FOR IRIS CODE BASED IDENTIFICATION OF VERTEBRATES
    • 捕获图像数据的方法用于基于密码的代码基于VERTEBRATES的识别
    • US20120274756A1
    • 2012-11-01
    • US13096724
    • 2011-04-28
    • James Russell BergenOleg Naroditsky
    • James Russell BergenOleg Naroditsky
    • H04N7/18
    • G06K9/00604
    • A method of capturing image data for iris code based identification of vertebrates, including humans, comprises the steps of: recording a digital image of an eye with a camera equipped with at least two light sources that have a fixed spatial relationship to an object lens of the camera; locating the eye in the digital image by detecting a specularity pattern that is created by reflection of light from said at least two light sources at a cornea of the eye; and calculating information on the position of the camera relative to the eye on the basis of said fixed spatial relationship between the light sources and the object lens and on the basis of said specularity pattern.
    • 一种捕获包括人类在内的脊椎动物识别的基于虹膜代码的图像数据的方法包括以下步骤:用配备有至少两个光源的相机配备眼睛的数字图像,所述至少两个光源与物镜具有固定的空间关系 相机; 通过检测通过在眼睛的角膜处来自所述至少两个光源的光的反射而产生的镜面图案来将眼睛定位在数字图像中; 并且基于所述光源和所述物镜之间的所述固定空间关系,并且基于所述镜面反射图案来计算相机相对于所述眼睛的位置的信息。
    • 8. 发明授权
    • Method of normalizing a digital image of an iris of an eye
    • 使眼睛的虹膜的数字图像正常化的方法
    • US08755607B2
    • 2014-06-17
    • US13096728
    • 2011-04-28
    • James Russell BergenOleg Naroditsky
    • James Russell BergenOleg Naroditsky
    • G06K9/48G06K9/00
    • G06K9/00597
    • A method of normalizing a digital image of an iris of an eye for the purpose of creating an iris code for identification of vertebrates, including humans, the method comprising the steps of: determining a pupil region in the image as a convex region having a boundary that can only be described by more than five independent parameters; determining, in the image, an outer boundary of the iris; and transforming an image of a ring shaped iris region that surrounds the pupil region into a coordinate system in which each point of the iris region is described by a first coordinate that indicates the position of the point along the boundary of the pupil and a second coordinate that indicates the distance of the point from said boundary, said second coordinate having a constant value when the point is located on the outer boundary of the iris.
    • 为了创建用于识别脊椎动物(包括人类)的虹膜码的目的,使眼睛的虹膜的数字图像归一化的方法,所述方法包括以下步骤:确定图像中的瞳孔区域为具有边界的凸区域 只能由五个独立参数描述; 在图像中确定虹膜的外边界; 以及将围绕所述瞳孔区域的环形虹膜区域的图像变换成坐标系,其中所述虹膜区域的每个点由指示所述点沿着所述瞳孔的边界的位置的第一坐标和第二坐标 其指示点与所述边界的距离,当所述点位于所述虹膜的外边界时,所述第二坐标具有恒定值。
    • 9. 发明授权
    • System and method for providing mobile range sensing
    • 提供移动距离感测的系统和方法
    • US08059887B2
    • 2011-11-15
    • US11860650
    • 2007-09-25
    • John Richard FieldsJames Russell BergenGarbis Salgian
    • John Richard FieldsJames Russell BergenGarbis Salgian
    • G06K9/00
    • G06K9/209G06K2209/40G06T7/246G06T7/596G06T2207/10016G06T2207/30188G06T2207/30241G06T2207/30252
    • The present invention provides an improved system and method for estimating range of the objects in the images from various distances. The method comprises receiving a set of images of the scene having multiple objects from at least one camera in motion. Due to the motion of the camera, each of the images are obtained at different camera locations Then an object visible in multiple images is selected. Data related to approximate camera positions and orientations and the images of the visible object are used to estimate the location of the object relative to a reference coordinate system. Based on the computed data, a projected location of the visible object is computed and the orientation angle of the camera for each image is refined. Additionally, pairs of cameras with various locations can then be chosen to obtain dense stereo for regions of the image at various ranges. The process is further structured so that as new images arrive, they are incorporated into the pose adjustment so that the dense stereo results can be updated.
    • 本发明提供了一种用于估计来自各种距离的图像中的对象的范围的改进的系统和方法。 该方法包括从运动中的至少一个摄像机接收具有多个对象的场景的一组图像。 由于相机的运动,在不同的相机位置获得每个图像然后选择在多个图像中可见的对象。 与近似相机位置和方向有关的数据以及可见对象的图像用于估计对象相对于参考坐标系的位置。 基于计算的数据,计算可见对象的投影位置,并且改善每个图像的相机的取向角度。 此外,可以选择具有各种位置的成对的相机以获得在各种范围内的图像区域的致密立体声。 该过程被进一步构造,使得当新图像到达时,它们被并入到姿势调整中,使得可以更新密集的立体声结果。