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    Determining an Image Capture Payload Burst Structure
    22.
    发明申请
    Determining an Image Capture Payload Burst Structure 有权
    确定图像捕获有效载荷突发结构

    公开(公告)号：US20140168474A1

    公开(公告)日：2014-06-19

    申请号：US13713734

    申请日：2012-12-13

    Applicant: Google Inc.

    Inventor： Ryan Geiss ,  Samuel William Hasinoff

    IPC: H04N5/265

    CPC classification number: A61B5/0478 ,  A61B5/0084 ,  A61B5/01 ,  A61B5/0484 ,  A61B2562/0209 ,  A61B2562/028 ,  A61N1/0529 ,  A61N5/0601 ,  G06T5/50 ,  G06T2207/10144 ,  G06T2207/20221 ,  H04N5/2355 ,  H04N5/35554

    Abstract: A first plurality of images of a scene may be captured. Each image of the first plurality of images may be captured using a different TET. Based at least on the first plurality of images, a long TET, a short TET, and a TET sequence that includes the long TET and the short TET may be determined. A second plurality of images of the scene may be captured. The images in the second plurality of images may be captured sequentially in an image sequence using a sequence of TETs corresponding to the TET sequence. Based on one or more images in the image sequence, an output image may be constructed.

    Abstract translation: 可以捕获场景的第一多个图像。 可以使用不同的TET来捕获第一多个图像的每个图像。 至少基于第一多个图像，可以确定包括长TET和短TET的长TET，短TET和TET序列。 可以捕获场景的第二多个图像。 可以使用对应于TET序列的TET序列，以图像序列顺序地捕获第二多个图像中的图像。 基于图像序列中的一个或多个图像，可以构造输出图像。

    Determining an Image Capture Payload Burst Structure Based on a Metering Image Capture Sweep
    23.
    发明申请
    Determining an Image Capture Payload Burst Structure Based on a Metering Image Capture Sweep 有权
    基于测量图像捕获扫描确定图像捕获有效负载突发结构

    公开(公告)号：US20140168468A1

    公开(公告)日：2014-06-19

    申请号：US13713720

    申请日：2012-12-13

    Applicant: Google Inc.

    Inventor： Marc Stewart Levoy ,  Ryan Geiss ,  Samuel William Hasinoff

    IPC: H04N5/235

    CPC classification number: H04N5/2355 ,  G06K9/6212 ,  G06T5/009 ,  G06T5/50 ,  G06T2207/10144 ,  G06T2207/20208 ,  H04N5/2353

    Abstract: A first plurality of images of a scene may be captured. Each image of the first plurality of images may be captured with a different total exposure time (TET). Based at least on the first plurality of images, a TET sequence may be determined for capturing images of the scene. A second plurality of images of the scene may be captured. Images in the second plurality of images may be captured using the TET sequence. Based at least on the second plurality of images, an output image of the scene may be constructed.

    Abstract translation: 可以捕获场景的第一多个图像。 可以用不同的总曝光时间（TET）捕获第一多个图像的每个图像。 至少基于第一多个图像，可以确定用于捕获场景的图像的TET序列。 可以捕获场景的第二多个图像。 可以使用TET序列捕获第二多个图像中的图像。 至少基于第二多个图像，可以构造场景的输出图像。

    Unlocking a Screen Using Eye Tracking Information
    24.
    发明申请
    Unlocking a Screen Using Eye Tracking Information 有权
    使用眼睛跟踪信息解锁屏幕

    公开(公告)号：US20130300652A1

    公开(公告)日：2013-11-14

    申请号：US13938313

    申请日：2013-07-10

    Applicant: Google, Inc.

    Inventor： Hayes Solos Raffle ,  Adrian Wong ,  Ryan Geiss

    IPC: G06F3/01

    CPC classification number: G06F3/013 ,  A61B3/113 ,  G02B27/017 ,  G02B2027/0178 ,  G02B2027/0187 ,  G06K9/00604

    Abstract: Methods and systems for unlocking a screen using eye tracking information are described. A computing system may include a display screen. The computing system may be in a locked mode of operation after a period of inactivity by a user. Locked mode of operation may include a locked screen and reduced functionality of the computing system. The user may attempt to unlock the screen. The computing system may generate a display of a moving object on the display screen of the computing system. An eye tracking system may be coupled to the computing system. The eye tracking system may track eye movement of the user. The computing system may determine that a path associated with the eye movement of the user substantially matches a path associated with the moving object on the display and switch to be in an unlocked mode of operation including unlocking the screen.

    Abstract translation: 描述使用眼睛跟踪信息解锁屏幕的方法和系统。 计算系统可以包括显示屏。 计算系统可以在用户不活动的时间段之后处于锁定的操作模式。 锁定的操作模式可以包括锁定屏幕和计算系统的功能降低。 用户可以尝试解锁屏幕。 计算系统可以在计算系统的显示屏上产生移动物体的显示。 眼睛跟踪系统可以耦合到计算系统。 眼睛跟踪系统可以跟踪用户的眼睛运动。 计算系统可以确定与用户的眼睛移动相关联的路径基本上与显示器上与移动物体相关联的路径匹配并且切换到处于解锁操作模式，包括解锁屏幕。

    Depth-Assisted Focus in Multi-Camera Systems
    27.
    发明申请
    Depth-Assisted Focus in Multi-Camera Systems 有权

    公开(公告)号：US20170111630A1

    公开(公告)日：2017-04-20

    申请号：US15390016

    申请日：2016-12-23

    Applicant: Google Inc.

    Inventor： Ryan Geiss ,  Roman Lewkow

    IPC: H04N13/00 ,  H04N13/02 ,  H04N5/232

    CPC classification number: H04N13/128 ,  H04N5/2258 ,  H04N5/23212 ,  H04N5/235 ,  H04N13/207 ,  H04N13/239 ,  H04N13/243 ,  H04N13/296

    Abstract: Example embodiments may help multi-camera devices determine disparity information scene, and use the disparity information in an autofocus process. An example method involves: (a) receiving image data of a scene that comprises at least one image of the scene captured by each of two or more image-capture systems of a computing device that includes a plurality of image-capture systems; (b) using the image data captured by the two or more image-capture systems as a basis for determining disparity information for the scene; and (c) performing, by the computing system, an autofocus process based at least in part on the disparity information, wherein the autofocus process provides a focus setting for at least one of the image-capture systems of the computing device.

    Depth-assisted focus in multi-camera systems
    28.
    发明授权
    Depth-assisted focus in multi-camera systems 有权
    多相机系统的深度辅助对焦

    公开(公告)号：US09565416B1

    公开(公告)日：2017-02-07

    申请号：US14167950

    申请日：2014-01-29

    Applicant: Google Inc.

    Inventor： Roman Lewkow ,  Ryan Geiss

    IPC: H04N13/02 ,  H04N13/00 ,  H04N5/232

    CPC classification number: H04N13/128 ,  H04N5/2258 ,  H04N5/23212 ,  H04N5/235 ,  H04N13/207 ,  H04N13/239 ,  H04N13/243 ,  H04N13/296

    Abstract: Example embodiments may help multi-camera devices determine disparity information scene, and use the disparity information in an autofocus process. An example method involves: (a) receiving image data of a scene that comprises at least one image of the scene captured by each of two or more image-capture systems of a computing device that includes a plurality of image-capture systems; (b) using the image data captured by the two or more image-capture systems as a basis for determining disparity information for the scene; and (c) performing, by the computing system, an autofocus process based at least in part on the disparity information, wherein the autofocus process provides a focus setting for at least one of the image-capture systems of the computing device.

    Abstract translation: 示例性实施例可以帮助多相机设备确定视差信息场景，并且在自动聚焦处理中使用视差信息。 示例性方法包括：（a）接收场景的图像数据，其包括由包括多个图像捕获系统的计算设备的两个或多个图像捕获系统中的每一个捕获的场景的至少一个图像; （b）使用由两个或多个图像捕获系统捕获的图像数据作为用于确定场景的视差信息的基础; 以及（c）至少部分地基于所述视差信息由所述计算系统执行自动聚焦处理，其中所述自动聚焦处理为所述计算设备的所述图像捕获系统中的至少一个提供焦点设置。

    Determining image alignment failure
    29.
    发明授权
    Determining image alignment failure 有权
    确定图像对齐失败

    公开(公告)号：US09247152B2

    公开(公告)日：2016-01-26

    申请号：US13722519

    申请日：2012-12-20

    Applicant: Google Inc.

    Inventor： Ryan Geiss

    IPC: H04N5/228 ,  H04N5/235 ,  G06T7/00 ,  G06T5/50

    CPC classification number: H04N5/2355 ,  G06T5/50 ,  G06T7/30 ,  G06T2207/20221

    Abstract: A first set of pixels of a short exposure image and a second set of pixels of a long exposure image may be obtained. The short exposure image may have been captured using a short total exposure time (TET) and the long exposure image may have been captured using a long TET. The long TET may be greater than the short TET. The first set of pixels and the second set of pixels may be aligned. A first pixel value of a first pixel in the first set of pixels and a second pixel of a second pixel in the second set of pixels value may be compared. Based on the comparison, an alignment error value for the first pixel and the second pixel may be determined. Based at least on the alignment error value, an output image may be provided.

    Abstract translation: 可以获得短曝光图像的第一组像素和长曝光图像的第二组像素。 可以使用短的总曝光时间（TET）捕获短曝光图像，并且可以使用长TET捕获长曝光图像。 长TET可能大于短TET。 第一组像素和第二组像素可以对齐。 可以比较第一组像素中的第一像素的第一像素值和第二像素像素值中的第二像素的第二像素值。 基于该比较，可以确定第一像素和第二像素的对准误差值。 至少基于对准误差值，可以提供输出图像。

    Camera selection based on occlusion of field of view
    30.
    发明授权
    Camera selection based on occlusion of field of view 有权
    基于视场遮挡的相机选择

    公开(公告)号：US09154697B2

    公开(公告)日：2015-10-06

    申请号：US14098796

    申请日：2013-12-06

    Applicant: Google Inc.

    Inventor： Ryan Geiss ,  Roman Lewkow

    IPC: H04N5/232 ,  H04N5/247

    CPC classification number: H04N5/23229 ,  G06K9/00375 ,  G06K9/209 ,  G06T5/50 ,  G06T7/0002 ,  G06T2207/20221 ,  G06T2207/30168 ,  H04N5/217 ,  H04N5/2258 ,  H04N5/23212 ,  H04N5/23216 ,  H04N13/239 ,  H04N13/243

    Abstract: An example method involves: (a) receiving image data that is generated by each of a plurality of image-capture systems, wherein the plurality of image-capture systems are all arranged on a given device and all are oriented in substantially the same direction, (b) analyzing, by the computing system, image data that is generated by one or more of the image-capture systems to select image data from at least one of the image-capture systems having a field-of-view that is not substantially occluded by an unintended element, and (c) storing the selected image data.

    Abstract translation: 示例性方法包括：（a）接收由多个图像捕获系统中的每一个生成的图像数据，其中所述多个图像捕获系统都被布置在给定的设备上，并且全部被定向在基本上相同的方向上， （b）由所述计算系统分析由所述图像捕获系统中的一个或多个生成的图像数据，以从具有实质上不具有视场的视场中的至少一个图像捕获系统中选择图像数据 由非预期元件遮挡，（c）存储所选择的图像数据。

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