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    Camera Obstruction Detection
    11.
    发明申请
    Camera Obstruction Detection 有权
    相机阻塞检测

    公开(公告)号：US20140293079A1

    公开(公告)日：2014-10-02

    申请号：US13855054

    申请日：2013-04-02

    Applicant: Google Inc

    Inventor： Peyman Milanfar ,  Marc Stewart Levoy ,  Samuel William Hasinoff ,  Changyin Zhou

    IPC: H04N5/232

    CPC classification number: H04N5/2171 ,  H04N5/23222

    Abstract: The present disclosure provides example methods operable by computing device. An example method can include receiving an image from a camera. The method can also include comparing one or more parameters of the image with one or more control parameters, where the one or more control parameters comprise information indicative of an image from a substantially unobstructed camera. Based on the comparison, the method can also include determining a score between the one or more parameters of the image and the one or more control parameters. The method can also include accumulating, by a computing device, a count of a number of times the determined score image exceeds a first threshold. Based on the count exceeding a second threshold, the method can also include determining that the camera is at least partially obstructed.

    Abstract translation: 本公开提供了可由计算设备操作的示例方法。 示例性方法可以包括从相机接收图像。 该方法还可以包括将图像的一个或多个参数与一个或多个控制参数进行比较，其中一个或多个控制参数包括指示来自基本上无障碍的相机的图像的信息。 基于比较，该方法还可以包括确定图像的一个或多个参数与一个或多个控制参数之间的得分。 该方法还可以包括由计算设备累积所确定的分数图像超过第一阈值的次数的计数。 基于超过第二阈值的计数，该方法还可以包括确定相机至少部分地被阻挡。

    Noise Models for Image Processing
    12.
    发明申请
    Noise Models for Image Processing 有权
    图像处理噪声模型

    公开(公告)号：US20140218540A1

    公开(公告)日：2014-08-07

    申请号：US13759749

    申请日：2013-02-05

    Applicant: Google Inc.

    Inventor： Ryan Geiss ,  Changyin Zhou ,  Samuel William Hasinoff

    IPC: H04N17/00

    CPC classification number: H04N5/265 ,  G06F17/3025 ,  G06F17/3028 ,  G06K9/6202 ,  G06T5/50 ,  G06T7/90 ,  G06T2207/20208 ,  G06T2207/20221 ,  H04N5/217 ,  H04N5/2355 ,  H04N5/357 ,  H04N17/002

    Abstract: A plurality of images of a scene may be obtained. These images may have been captured by an image sensor, and may include a first image and a second image. A particular gain may have been applied to the first image. An effective color temperature and a brightness of a first pixel in the first image may be determined, and a mapping between pixel characteristics and noise deviation of the image sensor may be selected. The pixel characteristics may include pixel brightness. The selected mapping may be used to map at least the brightness of the first pixel to a particular noise deviation. The brightness of the first pixel and the particular noise deviation may be compared to a brightness of a second pixel of the second image. The comparison may be used to determine whether to merge the first pixel and the second pixel.

    Abstract translation: 可以获得场景的多个图像。 这些图像可能已经被图像传感器捕获，并且可以包括第一图像和第二图像。 特定的增益可能已被应用于第一图像。 可以确定第一图像中的有效色温和第一像素的亮度，并且可以选择图像传感器的像素特性和噪声偏差之间的映射。 像素特性可以包括像素亮度。 所选择的映射可以用于将至少第一像素的亮度映射到特定的噪声偏差。 可以将第一像素的亮度和特定噪声偏差与第二图像的第二像素的亮度进行比较。 比较可以用于确定是否合并第一像素和第二像素。

    Camera obstruction detection
    15.
    发明授权
    Camera obstruction detection 有权
    相机阻塞检测

    公开(公告)号：US09253375B2

    公开(公告)日：2016-02-02

    申请号：US13855054

    申请日：2013-04-02

    Applicant: Google Inc.

    Inventor： Peyman Milanfar ,  Marc Stewart Levoy ,  Samuel William Hasinoff ,  Changyin Zhou

    IPC: H04N5/217 ,  H04N5/232

    CPC classification number: H04N5/2171 ,  H04N5/23222

    Abstract: The present disclosure provides example methods operable by computing device. An example method can include receiving an image from a camera. The method can also include comparing one or more parameters of the image with one or more control parameters, where the one or more control parameters comprise information indicative of an image from a substantially unobstructed camera. Based on the comparison, the method can also include determining a score between the one or more parameters of the image and the one or more control parameters. The method can also include accumulating, by a computing device, a count of a number of times the determined score image exceeds a first threshold. Based on the count exceeding a second threshold, the method can also include determining that the camera is at least partially obstructed.

    Abstract translation: 本公开提供了可由计算设备操作的示例方法。 示例性方法可以包括从相机接收图像。 该方法还可以包括将图像的一个或多个参数与一个或多个控制参数进行比较，其中一个或多个控制参数包括指示来自基本上无障碍的相机的图像的信息。 基于比较，该方法还可以包括确定图像的一个或多个参数与一个或多个控制参数之间的得分。 该方法还可以包括由计算设备累积所确定的分数图像超过第一阈值的次数的计数。 基于超过第二阈值的计数，该方法还可以包括确定相机至少部分地被阻挡。

    Hand-triggered head-mounted photography
    18.
    发明授权
    Hand-triggered head-mounted photography 有权
    手触式头戴摄影

    公开(公告)号：US09076033B1

    公开(公告)日：2015-07-07

    申请号：US13630537

    申请日：2012-09-28

    Applicant: Google Inc.

    Inventor： Jonathan Tilton Barron ,  Marc Stewart Levoy ,  Samuel William Hasinoff

    IPC: H04N5/228 ,  G06K9/00 ,  G06F3/00 ,  G06F3/01 ,  G06F3/033

    CPC classification number: G06K9/00355 ,  G06F1/163 ,  G06F3/005 ,  G06F3/011 ,  G06F3/017 ,  G06F3/0304 ,  G06F3/04842 ,  G06K9/00671 ,  G06K9/2081 ,  H04N5/2257 ,  H04N5/23216 ,  H04N5/23293

    Abstract: Embodiments described herein may help a computing device, such as a head-mountable device (HMD), to capture and process images in response to a user placing their hands in, and then withdrawing their hands from, a frame formation. For example, an HMD may analyze image data from a point-of-view camera on the HMD, and detect when a wearer holds their hands in front of their face to frame a subject in the wearer's field of view. Further, the HMD may detect when the wearer withdraws their hands from such a frame formation and responsively capture an image. Further, the HMD may determine a selection area that is being framed, within the wearer's field of view, by the frame formation. The HMD may then process the captured image based on the frame formation, such as by cropping, white-balancing, and/or adjusting exposure.

    Abstract translation: 本文描述的实施例可以帮助计算设备，例如可头戴式设备（HMD），以响应于用户将他们的手放置在框架结构中，然后从框架结构中取出他们的手来捕获和处理图像。 例如，HMD可以分析来自HMD上的观察点相机的图像数据，并且检测佩戴者在佩戴者的视野内何时将手握在脸部的前方以构图被摄体。 此外，HMD可以检测穿戴者何时从这样的框架结构中撤回他们的手并且响应地捕获图像。 此外，HMD可以通过框架形成来确定正在框架的选择区域，在佩戴者的视野范围内。 然后，HMD可以基于帧形成处理捕获的图像，例如通过裁剪，白平衡和/或调整曝光。

    Determining an Image Capture Payload Burst Structure
    19.
    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
    20.
    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。

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