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    Methods and system to quantify depth data accuracy in three-dimensional sensors using single frame capture
    1.
    发明授权
    Methods and system to quantify depth data accuracy in three-dimensional sensors using single frame capture 有权
    使用单帧捕获来量化三维传感器深度数据精度的方法和系统

    公开(公告)号：US07408627B2

    公开(公告)日：2008-08-05

    申请号：US11348737

    申请日：2006-02-06

    申请人： Cyrus Bamji ,  Ilhami Torunoglu ,  Salih Burak Gokturk

    发明人： Cyrus Bamji ,  Ilhami Torunoglu ,  Salih Burak Gokturk

    IPC分类号： G01C3/08

    CPC分类号： G01C3/08 ,  G01S7/497

    摘要： A method and system dynamically calculates confidence levels associated with accuracy of Z depth information obtained by a phase-shift time-of-flight (TOF) system that acquires consecutive images during an image frame. Knowledge of photodetector response to maximum and minimum detectable signals in active brightness and total brightness conditions is known a priori and stored. During system operation brightness threshold filtering and comparing with the a priori data permits identifying those photodetectors whose current output signals are of questionable confidence. A confidence map is dynamically generated and used to advise a user of the system that low confidence data is currently being generated. Parameter(s) other than brightness may also or instead be used.

    摘要翻译： 方法和系统动态地计算与通过在图像帧期间获取连续图像的相移时间飞行（TOF）系统获得的Z深度信息的精度相关联的置信水平。 了解光电探测器对主动亮度和总亮度条件下的最大和最小可检测信号的响应是先验已知和存储的。 在系统操作期间，亮度阈值滤波和与先验数据进行比较允许识别当前输出信号具有可信赖性的那些光电探测器。 动态生成置信图，并用于向系统的用户建议当前正在生成低置信度数据。 除了亮度之外的参数也可以或替代地使用。

    System and method for providing intelligent airbag deployment
    2.
    发明授权
    System and method for providing intelligent airbag deployment 有权
    提供智能安全气囊部署的系统和方法

    公开(公告)号：US07526120B2

    公开(公告)日：2009-04-28

    申请号：US10660907

    申请日：2003-09-11

    申请人： Salih Burak Gokturk ,  Cyrus Bamji ,  Abbas Rafii ,  Carlo Tomasi ,  Xinqiao Liu

    发明人： Salih Burak Gokturk ,  Cyrus Bamji ,  Abbas Rafii ,  Carlo Tomasi ,  Xinqiao Liu

    IPC分类号： G06K9/00

    CPC分类号： B60R21/01516 ,  B60R21/013 ,  B60R21/0152 ,  B60R21/01538 ,  G06K9/00362

    摘要： A sensor system is provided for determining a deployment level of an airbag in a vehicle. A light source of the sensor system emits light onto a region around a vehicle seat. An array of light-sensitive pixels which capture reflected light from the scene, including reflected light that originated from the light source. Processing resources are provided that determine depth information for an object in the scene based on a time-of-flight characteristic of the reflected light from the light source captured on the array. The processing resources may be configured to determine occupancy data for the object based on the captured reflected light from the scene. The processing resources are configured to determine the deployment level of the airbag based at least in part on the occupancy data in when a collision of the vehicle occurs.

    摘要翻译： 提供用于确定车辆中的气囊的展开水平的传感器系统。 传感器系统的光源将光发射到车辆座椅周围的区域。 捕获来自场景的反射光的光敏像素阵列，包括源自光源的反射光。 提供处理资源，其基于来自在阵列上捕获的光源的反射光的飞行时间特性来确定场景中的对象的深度信息。 处理资源可以被配置为基于来自场景的所捕获的反射光来确定对象的占用数据。 处理资源被配置为至少部分地基于当车辆碰撞发生时的占用数据来确定安全气囊的部署水平。

    METHOD AND SYSTEM TO SEGMENT DEPTH IMAGES AND TO DETECT SHAPES IN THREE-DIMENSIONALLY ACQUIRED DATA
    7.
    发明申请
    METHOD AND SYSTEM TO SEGMENT DEPTH IMAGES AND TO DETECT SHAPES IN THREE-DIMENSIONALLY ACQUIRED DATA 有权
    分割深度图像并在三维数据中检测形状的方法和系统

    公开(公告)号：US20110311101A1

    公开(公告)日：2011-12-22

    申请号：US13219349

    申请日：2011-08-26

    申请人： Abbes Rafii ,  Salih Burak Gokturk

    发明人： Abbes Rafii ,  Salih Burak Gokturk

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0081 ,  G06K9/00201 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10028 ,  G06T2207/30261

    摘要： A method and system analyzes data acquired by image systems to more rapidly identify objects of interest in the data. In one embodiment, z-depth data are segmented such that neighboring image pixels having similar z-depths are given a common label. Blobs, or groups of pixels with a same label, may be defined to correspond to different objects. Blobs preferably are modeled as primitives to more rapidly identify objects in the acquired image. In some embodiments, a modified connected component analysis is carried out where image pixels are pre-grouped into regions of different depth values preferably using a depth value histogram. The histogram is divided into regions and image cluster centers are determined. A depth group value image containing blobs is obtained, with each pixel being assigned to one of the depth groups.

    摘要翻译： 一种方法和系统分析由图像系统获取的数据，以更快速地识别数据中感兴趣的对象。 在一个实施例中，z深度数据被分割，使得具有相似z深度的相邻图像像素被给予公共标签。 具有相同标签的Blob或像素组可以被定义为对应于不同的对象。 Blob优选地被建模为基元以更快速地识别所获取的图像中的对象。 在一些实施例中，执行修改的连接分量分析，其中图像像素优选地使用深度值直方图被预分组成不同深度值的区域。 直方图被划分为区域，确定图像聚类中心。 获得包含斑点的深度组值图像，其中每个像素被分配给深度组之一。

    System and method for enabling search and retrieval from image files based on recognized information
    8.
    发明授权
    System and method for enabling search and retrieval from image files based on recognized information 有权
    基于识别信息使图像文件能够进行搜索和检索的系统和方法

    公开(公告)号：US07809722B2

    公开(公告)日：2010-10-05

    申请号：US11246741

    申请日：2005-10-07

    申请人： Salih Burak Gokturk ,  Dragomir Anguelov ,  Vincent Vanhoucke ,  Kuang-Chih Lee ,  Diem Vu ,  Danny Yang ,  Munjal Shah ,  Azhar Khan

    发明人： Salih Burak Gokturk ,  Dragomir Anguelov ,  Vincent Vanhoucke ,  Kuang-Chih Lee ,  Diem Vu ,  Danny Yang ,  Munjal Shah ,  Azhar Khan

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30256

    摘要： An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

    摘要翻译： 实施例提供了能够检索形成图像库的至少一部分的所捕获图像的集合。 对于集合中的每个图像，可以分析捕获的图像以从捕获的图像中包含的图像数据识别信息，并且可以生成索引，其中索引数据基于所识别的信息。 使用索引，启用搜索和检索等功能。 可以使用各种识别技术，包括使用面部，服装，服装和特征组合的识别技术。 在其他情况下，可以执行承认对象上的人和文本。