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    • 1. 发明授权
    • Occlusion-reduced 3D routing for 3D city maps
    • 3D城市地图的闭塞减少3D路由
    • US09528845B2
    • 2016-12-27
    • US14836387
    • 2015-08-26
    • Liu RenLincan Zou
    • Liu RenLincan Zou
    • G01C21/36
    • G01C21/3638
    • In one embodiment, a method for rendering a route in a 3D virtual environment includes generating with a processor a 3D virtual environment including a plurality of 3D objects, the 3D virtual environment corresponding to a physical region, identifying with the processor a route for navigation through the 3D virtual environment corresponding to a route of travel through the physical region, generating with the processor and a display device a graphical rendering of the 3D virtual environment and the route with a height of the route being increased in regions of the 3D virtual environment where one or more of the plurality of 3D objects occludes a view of route, rendering of the route with partial transparency to provide visibility of objects occluded by the route and/or with navigation information, e.g. animated direction arrow, street names.
    • 在一个实施例中,用于在3D虚拟环境中渲染路线的方法包括用处理器生成包括多个3D对象的3D虚拟环境,对应于物理区域的3D虚拟环境,与处理器识别用于导航的路线 对应于通过物理区域的行进路线的3D虚拟环境,与处理器和显示设备一起生成3D虚拟环境的图形呈现,并且具有路线高度的路线在3D虚拟环境的区域中增加,其中 多个3D对象中的一个或多个遮挡了路线的视图,呈现具有部分透明度的路线,以提供由路线和/或导航信息遮挡的物体的可视性,例如 动画方向箭头,街道名称。
    • 2. 发明申请
    • System and Method for Remote Shadow Rendering in a 3D Virtual Environment
    • 在3D虚拟环境中进行远程阴影渲染的系统和方法
    • US20160063757A1
    • 2016-03-03
    • US14836349
    • 2015-08-26
    • Lei YangLiu Ren
    • Lei YangLiu Ren
    • G06T15/60G06T1/20G06T7/00
    • G06T15/60
    • A method for rendering shadows in a 3D virtual environment includes generating a depth rasterization map corresponding to a plurality of objects in a three-dimensional virtual environment and a shadow interval map with reference to the depth map and a predetermined path of a light source in the environment that casts light onto at least one object in the plurality of objects that generates a shadow in the three-dimensional virtual environment with a server computing device. The method includes transmitting the shadow interval map from the server to a client and generating, with a processor in the client, a graphical depiction of the virtual environment including at least one shadow generated with reference to the shadow interval map, the at least one shadow corresponding to the light source and the plurality of objects in the virtual environment.
    • 一种用于在3D虚拟环境中渲染阴影的方法包括在三维虚拟环境中生成对应于多个对象的深度光栅化图和参考深度图的光影区域和阴影间隔图中的光源的预定路径 环境,其使用服务器计算设备将光投射到在三维虚拟环境中产生阴影的多个对象中的至少一个对象上。 该方法包括将影子间隔映射从服务器发送到客户端,并且与客户机中的处理器一起生成虚拟环境的图形描绘,该虚拟环境包括参考阴影区间映射生成的至少一个阴影,该至少一个阴影 对应于虚拟环境中的光源和多个对象。
    • 7. 发明申请
    • DEPTH-AWARE BLUR KERNEL ESTIMATION METHOD FOR IRIS DEBLURRING
    • 深度识别盲点估计方法
    • US20130147937A1
    • 2013-06-13
    • US13525511
    • 2012-06-18
    • Liu RenXinyu HuangRuigang Yang
    • Liu RenXinyu HuangRuigang Yang
    • H04N7/18
    • H04N7/18G06K9/00604G06T5/003G06T2207/10016G06T2207/10028G06T2207/10048G06T2207/30201
    • Estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. A second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution is estimated. The first mathematical relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second mathematical relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The produced image is digitally unblurred by using the blur kernel distribution defined by the calculated standard deviation.
    • 估计用于视觉虹膜识别的模糊核心分布包括确定相机透镜的对焦位置与透镜与其图像将被透镜捕获的虹膜之间的距离之间的第一数学关系。 估计透镜的聚焦位置与限定高斯模糊核分布的标准偏差之间的第二数学关系。 第一数学关系用于基于在该时刻的生命的眼睛的实际位置来确定镜片的期望的焦点位置。 第二个数学关系用于计算定义高斯模糊核分布的标准偏差。 通过使用由计算出的标准偏差定义的模糊核心分布,产生的图像被数字化。
    • 9. 发明授权
    • Depth-aware blur kernel estimation method for iris deblurring
    • 用于虹膜脱模的深度感知模糊核估计方法
    • US08203602B2
    • 2012-06-19
    • US12367069
    • 2009-02-06
    • Liu RenXinyu HuangRuigang Yang
    • Liu RenXinyu HuangRuigang Yang
    • G06K9/00
    • H04N7/18G06K9/00604G06T5/003G06T2207/10016G06T2207/10028G06T2207/10048G06T2207/30201
    • A method of estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. The first relationship is used to estimate a second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution. A position of an eye of a living being at a future point in time is predicted. A focus position of the camera lens is adjusted based upon the predicted position of the eye. The camera lens with the adjusted focus position is used to produce an image of the living being's eye at the point in time. An actual position of the living being's eye at the point in time is sensed. The first relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The calculating is based upon a difference between the adjusted focus position and the desired focus position of the lens.
    • 估计用于视觉虹膜识别的模糊核分布的方法包括确定相机透镜的对焦位置与透镜与其图像将由透镜捕获的光圈之间的距离之间的第一数学关系。 第一关系用于估计透镜的聚焦位置与定义高斯模糊核分布的标准偏差之间的第二数学关系。 预测未来时期生活的眼睛的位置。 基于预测的眼睛位置来调整照相机镜头的对焦位置。 具有调整对焦位置的相机镜头用于在时间点上产生生命眼睛的图像。 感觉到生活在眼前的实际位置。 第一关系用于基于在该时间点的生命的眼睛的实际位置来确定镜片的期望的焦点位置。 第二个关系用于计算定义高斯模糊核分布的标准偏差。 该计算基于调整后的焦点位置与镜片的期望对焦位置之间的差异。