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公开(公告)号：US09256948B1
公开(公告)日：2016-02-09
申请号：US14740511
申请日：2015-06-16
Applicant: Google Inc.
CPC classification number: G06T7/0069 , G06T7/571 , G06T15/08 , G06T2207/10016 , G06T2207/10148 , H04N5/23229 , H04N13/207 , H04N2013/0081
Abstract: In one aspect, one or more computing devices receive a set of image frames. Each image frame includes pixels. The computing devices align image frames in order to identify flows of the pixels in the set of image frames. Regions of bokeh effect are identified in each image frame by measuring the sizes of areas of expansion across image frames using a set of assumptions and the identified flows. The computing devices adjust the alignment of the set of image frames based at least in part on the identified regions of bokeh effect. For each image frame, the computing devices generates an index map of focus values for each of the pixels that image frame using the improved alignment. A depth map is generated by the computing devices based at least in part on the index maps.
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公开(公告)号：US09142021B1
公开(公告)日：2015-09-22
申请号：US14270665
申请日：2014-05-06
Applicant: Google Inc.
Inventor： Steven Maxwell Seitz , Carlos Hernandez Esteban , Qi Shan
CPC classification number: G06T3/0068 , G06K9/6202 , G06T3/0093 , G06T7/33 , G06T2207/10028 , G06T2207/10032 , G06T2207/20132 , G06T2207/30181 , G06T2207/30184 , G06T2210/22
Abstract: Systems and methods for aligning ground based images of a geographic area taken from a perspective at or near ground level and a set of aerial images taken from, for instance, an oblique perspective, are provided. More specifically, candidate aerial imagery can be identified for alignment with the ground based image. Geometric data associated with the ground based image can be obtained and used to warp the ground based image to a perspective associated with the candidate aerial imagery. One or more feature matches between the warped image and the candidate aerial imagery can then be identified using a feature matching technique. The matched features can be used to align the ground based image with the candidate aerial imagery.
Abstract translation: 提供了用于对准从地平面处或附近观察的地理区域的基于地面的图像的系统和方法以及从例如倾斜透视图获取的一组航空图像。 更具体地，可以识别候选航空图像以与基于地面的图像对准。 可以获得与地面图像相关联的几何数据，并用于将基于地面的图像扭曲为与候选航空图像相关联的透视图。 然后可以使用特征匹配技术来识别翘曲图像和候选航空图像之间的一个或多个特征匹配。 匹配的功能可用于将地面图像与候选航空图像对齐。
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公开(公告)号：US20150109328A1
公开(公告)日：2015-04-23
申请号：US14056505
申请日：2013-10-17
Applicant: Google Inc.
Inventor： David Gallup , Steven Maxwell Seitz
IPC: G06F3/0484
CPC classification number: G06F3/0488
Abstract: Aspects of the disclosure relate generally to providing a user with an image navigation experience. In order to do so, a reference image may be identified. A set of potential target images for the reference image may also be identified. An area of the reference image is identified. For each particular image of the set of potential target images an associated cost for the identified area is determined based at least in part on a cost function for transitioning between the reference image and the particular target image. A target image is selected for association with the identified area based on the determined associated cost functions.
Abstract translation: 本公开的方面通常涉及为用户提供图像导航体验。 为了这样做，可以识别参考图像。 还可以识别用于参考图像的一组潜在目标图像。 识别参考图像的区域。 对于潜在目标图像集合的每个特定图像，至少部分地基于用于在参考图像和特定目标图像之间转换的成本函数来确定所识别区域的相关联的成本。 基于所确定的相关联的成本函数，选择目标图像以与所识别的区域相关联。
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公开(公告)号：US08928666B2
公开(公告)日：2015-01-06
申请号：US13691697
申请日：2012-11-30
Applicant: Google Inc.
Inventor： Andrew Ofstad , Steven Maxwell Seitz
CPC classification number: G06F3/04842 , G06F3/04815 , G06F17/30 , G06F17/30244 , G06T11/00 , G06T11/20 , G06T15/205 , G06T17/05 , G06T19/003
Abstract: Systems and methods for navigating an imagery graph are provided. In some aspects, a first image is provided for display, where the first image corresponds to a first image node within an imagery graph, where the imagery graph comprises image nodes corresponding to images from a plurality of different imagery types, and where each image node in the imagery graph is associated with geospatial data. An indication of a selection of a predetermined region within the first image is received, where the predetermined region is associated with a position in the first image that corresponds to geospatial data associated a second image node within the imagery graph. A second image corresponding to the second image node is provided for display in response to the indication of the selection of the predetermined region.
Abstract translation: 提供了导航图像图形的系统和方法。 在一些方面，提供第一图像用于显示，其中第一图像对应于图像图中的第一图像节点，其中图像图包括对应于来自多个不同图像类型的图像的图像节点，并且其中每个图像节点 在图像图中与地理空间数据相关联。 接收对第一图像内的预定区域的选择的指示，其中预定区域与第一图像中与图像图中的第二图像节点相关联的地理空间数据相对应的位置相关联。 提供对应于第二图像节点的第二图像以响应于对预定区域的选择的指示进行显示。
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公开(公告)号：US09531952B2
公开(公告)日：2016-12-27
申请号：US14671051
申请日：2015-03-27
Applicant: Google Inc.
Inventor： Keith Noah Snavely , Pierre Georgel , Steven Maxwell Seitz
CPC classification number: H04N5/23238 , G06F3/14 , G09G5/00 , G09G2340/10 , G09G2340/12
Abstract: Aspects of this disclosure relate to generating a composite image of an image of and another image that has a wider field of view. After an image is selected, the visual features in the image may be identified. Several images, such as panoramas, which have wider fields of view than an image captured by a camera, may be selected according to a comparison of the visual features in the image and the visual features of the larger images. The image may be aligned with each of the larger images, and at least one of these smaller-larger image pairs may be generated as a composite image.
Abstract translation: 本公开的方面涉及生成具有更宽视野的图像和另一图像的合成图像。 在选择图像之后，可以识别图像中的视觉特征。 可以根据图像中的视觉特征与较大图像的视觉特征的比较来选择诸如全景，其具有比由照相机拍摄的图像更宽的视野的全景。 图像可以与每个较大图像对齐，并且这些较小较大图像对中的至少一个可以被生成为合成图像。
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Patent Agency Ranking
公开(公告)号：US09405770B2
公开(公告)日：2016-08-02
申请号：US14202638
申请日：2014-03-10
Applicant: Google Inc.
Inventor： Steven Maxwell Seitz
CPC classification number: G06T19/003 , G06F17/30244 , G06F17/30268 , G06T15/205 , G06T2219/2008 , G09G2340/12
Abstract: An exemplary method for navigating among photos includes determining, using one or more computing devices, visual characteristics of a person depicted in a first image associated with a first location. These visual characteristics of the person are detected in a second image associated with a second location. Using the one or more computing devices, a series of intermediate images are identified based on the first location and the second location. Each intermediate image is associated with a location. The series of intermediate images and the second image are provided. Images of an intermediate destination from the series of intermediate images are selected based on a density of images at the intermediate destination. A 3D reconstruction of the intermediate destination is then generated based on the selected images. Thereafter, a visual presentation of images traversing through the 3D reconstruction of the intermediate destination to the second image is prepared for display.
Abstract translation: 用于在照片之间导航的示例性方法包括使用一个或多个计算设备确定在与第一位置相关联的第一图像中描绘的人的视觉特征。 在与第二位置相关联的第二图像中检测到人的这些视觉特征。 使用一个或多个计算设备，基于第一位置和第二位置来识别一系列中间图像。 每个中间图像与一个位置相关联。 提供了一系列中间图像和第二图像。 基于中间目的地的图像的浓度来选择来自该系列中间图像的中间目的地的图像。 然后基于所选择的图像生成中间目的地的3D重建。 此后，准备显示穿过中间目的地的3D重建的图像到第二图像的视觉呈现。
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公开(公告)号：US09269150B1
公开(公告)日：2016-02-23
申请号：US14499384
申请日：2014-09-29
Applicant: Google Inc.
Inventor： Steven Maxwell Seitz
CPC classification number: G06T7/0042 , G06K9/00221 , G06K9/00268 , G06K9/00523 , G06K2209/27 , G06T7/73 , G06T2207/10012 , G06T2207/30196 , G06T2207/30244
Abstract: The aspects described herein include receiving a request for available images depicting a user. One or more time and location indicators indicating one or more locations visited by the user are determined. Based on at least in part the one or more time and location indicators, a set of candidate images may be identified. The set of candidate images depict one or more locations at a time corresponding to at least one of the time indicators. Pose data related to the user may be obtained based on the location indicators. The pose data indicates a position and orientation of the user during a visit at a given location depicted in the set of candidate images. One or more images from the set of candidate images may be selected based on the pose data and the 3D reconstruction. The selected images include at least a partial view of the user.
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公开(公告)号：US20160005145A1
公开(公告)日：2016-01-07
申请号：US14832082
申请日：2015-08-21
Applicant: Google Inc.
Inventor： Steven Maxwell Seitz , Carlos Hernandez Esteban , Qi Shan
CPC classification number: G06T3/0068 , G06K9/6202 , G06T3/0093 , G06T7/33 , G06T2207/10028 , G06T2207/10032 , G06T2207/20132 , G06T2207/30181 , G06T2207/30184 , G06T2210/22
Abstract: Systems and methods for aligning ground based images of a geographic area taken from a perspective at or near ground level and a set of aerial images taken from, for instance, an oblique perspective, are provided. More specifically, candidate aerial imagery can be identified for alignment with the ground based image. Geometric data associated with the ground based image can be obtained and used to warp the ground based image to a perspective associated with the candidate aerial imagery. One or more feature matches between the warped image and the candidate aerial imagery can then be identified using a feature matching technique. The matched features can be used to align the ground based image with the candidate aerial imagery.
Abstract translation: 提供了用于对准从地平面处或附近观察的地理区域的基于地面的图像的系统和方法以及从例如倾斜透视图获取的一组航空图像。 更具体地，可以识别候选航空图像以与基于地面的图像对准。 可以获得与地面图像相关联的几何数据，并用于将基于地面的图像扭曲为与候选航空图像相关联的透视图。 然后可以使用特征匹配技术来识别翘曲图像和候选航空图像之间的一个或多个特征匹配。 匹配的功能可用于将地面图像与候选航空图像对齐。
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公开(公告)号：US20150170400A1
公开(公告)日：2015-06-18
申请号：US14107163
申请日：2013-12-16
Applicant: Google Inc.
IPC: G06T15/08
CPC classification number: G06T7/0069 , G06T7/571 , G06T15/08 , G06T2207/10016 , G06T2207/10148 , H04N5/23229 , H04N13/207 , H04N2013/0081
Abstract: In one aspect, one or more computing devices receive a set of image frames. Each image frame includes pixels. The computing devices align image frames in order to identify flows of the pixels in the set of image frames. Regions of bokeh effect are identified in each image frame by measuring the sizes of areas of expansion across image frames using a set of assumptions and the identified flows. The computing devices adjust the alignment of the set of image frames based at least in part on the identified regions of bokeh effect. For each image frame, the computing devices generates an index map of focus values for each of the pixels that image frame using the improved alignment. A depth map is generated by the computing devices based at least in part on the index maps.
Abstract translation: 在一个方面，一个或多个计算设备接收一组图像帧。 每个图像帧包括像素。 计算设备对准图像帧以便识别图像帧集合中的像素的流。 通过使用一组假设和识别的流量来测量图像帧上的扩展区域的大小，在每个图像帧中识别散景效果区域。 计算设备至少部分地基于所识别的散景效果区域来调整该组图像帧的对准。 对于每个图像帧，计算设备使用改进的对齐来生成针对图像帧的每个像素的焦点值的索引图。 至少部分地基于索引图由计算设备生成深度图。
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公开(公告)号：US20150113474A1
公开(公告)日：2015-04-23
申请号：US14056527
申请日：2013-10-17
Applicant: GOOGLE INC.
Inventor： David Gallup , Liyong Chen , Shuchang Zhou , Steven Maxwell Seitz
IPC: G06F3/0485
CPC classification number: G06F3/0485 , G06F3/04845
Abstract: Aspects of the disclosure relate generally to providing a user with an image navigation experience. In order to do so, a reference image may be identified. A set of potential target images for the reference image may also be identified. A drag vector for user input relative to the reference image is determined. For particular image of the set of target images an associated cost is determined based at least in part on a cost function and the drag vector. A target image is selected based on the determined associated costs.
Abstract translation: 本公开的方面通常涉及为用户提供图像导航体验。 为了这样做，可以识别参考图像。 还可以识别用于参考图像的一组潜在目标图像。 确定用于相对于参考图像的用户输入的拖动矢量。 对于目标图像集合的特定图像，至少部分地基于成本函数和拖动矢量确定相关联的成本。 基于确定的相关成本来选择目标图像。
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