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    • 6. 发明申请
    • EYEWEAR-MOUNTABLE EYE TRACKING DEVICE
    • 眼线索眼镜追踪装置
    • US20160139265A1
    • 2016-05-19
    • US14610984
    • 2015-01-30
    • Giora YahavDavid CohenSagi Katz
    • Giora YahavDavid CohenSagi Katz
    • G01S17/06G02C11/04G02C11/00
    • G01S17/66A61B3/113G01S17/06G01S17/42G02B27/0093G02C11/04G02C11/10G06F3/013G06K9/00604G06K2009/3291H04N5/23219
    • An eye movement tracking device that can be mounted to standard eyeglasses as disclosed. The device comprises an illumination source, a time-of-flight (TOF) camera and a processor. The source transmits energy within a frequency band from a location proximate to an eye of a person, such that at least a first portion of the transmitted energy is reflected off a lens of eyewear worn by the person to subsequently reflect off the eye, and such that at least a second portion of the transmitted energy is transmitted through the lens to reflect off objects in the person's environment. The TOF camera detects reflections of at least the first portion of the transmitted energy, and distinguishes them from other energy detected by the TOF camera in said frequency band, based on TOF principles. The processor uses the detected reflections of the first portion of the transmitted energy to determine eye position.
    • 如所公开的,可以安装到标准眼镜上的眼睛运动跟踪装置。 该装置包括照明源,飞行时间(TOF)照相机和处理器。 源从位于人眼附近的位置的频带内传送能量,使得所传送的能量的至少第一部分被人的眼镜的镜片反射,以随后反射出眼睛。 透射能量的至少第二部分透过透镜以反射人的环境中的物体。 TOF摄像机根据TOF原理检测至少第一部分发射能量的反射,并将它们与TOF相机在所述频带中检测到的其他能量进行区分。 处理器使用检测到的透射能量的第一部分的反射来确定眼睛位置。
    • 7. 发明授权
    • Identification of objects in a 3D video using non/over reflective clothing
    • 使用非反光衣物识别3D视频中的物体
    • US08831289B2
    • 2014-09-09
    • US13351680
    • 2012-01-17
    • Sagi KatzGiora Yahav
    • Sagi KatzGiora Yahav
    • G06K9/00G06T7/00
    • G06T7/0053G06T7/507
    • A computing system generates a depth map from at least one image, detects objects in the depth map, and identifies anomalies in the objects from the depth map. Another computing system identifies at least one anomaly in an object in a depth map, and uses the anomaly to identify future occurrences of the object. A system includes a three dimensional (3D) imaging system to generate a depth map from at least one image, an object detector to detect objects within the depth map, and an anomaly detector to detect anomalies in the detected objects, wherein the anomalies are logical gaps and/or logical protrusions in the depth map.
    • 计算系统从至少一个图像生成深度图,检测深度图中的对象,并从深度图识别对象中的异常。 另一个计算系统在深度图中识别对象中的至少一个异常,并使用异常来识别对象的未来出现。 系统包括三维(3D)成像系统,用于从至少一个图像生成深度图,对象检测器检测深度图内的对象,以及异常检测器,用于检测检测到的对象中的异常,其中异常是逻辑的 间隙和/或逻辑突起。
    • 9. 发明授权
    • Combined depth filtering and super resolution
    • 组合深度过滤和超分辨率
    • US08660362B2
    • 2014-02-25
    • US13301412
    • 2011-11-21
    • Sagi KatzAvishai AdlerGiora Yahav
    • Sagi KatzAvishai AdlerGiora Yahav
    • G06K9/48G06K9/40
    • G06K9/00201G06K9/00375G06T5/002G06T2207/10028
    • Systems and methods for increasing the resolution of a depth map by identifying and updating false depth pixels are described. In some embodiments, a depth pixel of the depth map is initially assigned a confidence value based on curvature values and localized contrast information. The curvature values may be generated by applying a Laplacian filter or other edge detection filter to the depth pixel and its neighboring pixels. The localized contrast information may be generated by determining a difference between the maximum and minimum depth values associated with the depth pixel and its neighboring pixels. A false depth pixel may be identified by comparing a confidence value associated with the false depth pixel with a particular threshold. The false depth pixel may be updated by assigning a new depth value based on an extrapolation of depth values associated with neighboring pixel locations.
    • 描述通过识别和更新假深度像素来增加深度图的分辨率的系统和方法。 在一些实施例中,深度图的深度像素最初基于曲率值和局部对比度信息被分配置信度值。 可以通过将拉普拉斯滤波器或其他边缘检测滤波器应用于深度像素及其相邻像素来产生曲率值。 可以通过确定与深度像素及其相邻像素相关联的最大和最小深度值之间的差异来生成局部对比度信息。 可以通过将与虚拟深度像素相关联的置信度值与特定阈值进行比较来识别伪深度像素。 可以通过基于与相邻像素位置相关联的深度值的外推来分配新的深度值来更新错误深度像素。