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公开(公告)号：US20160286122A1
公开(公告)日：2016-09-29
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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公开(公告)号：US20160180540A1
公开(公告)日：2016-06-23
申请号：US14924041
申请日：2015-10-27
Applicant: Google Inc.
Inventor： Andrew Lookingbill , Steven Maxwell Seitz
CPC classification number: G06T7/593 , G06K9/00208 , G06T7/33 , G06T7/579 , G06T15/10 , G06T19/00 , G06T2200/04 , G06T2200/08 , G06T2207/10016 , G06T2207/20221 , G06T2215/16
Abstract: An exemplary method includes prompting a user to capture video data at a location. The location is associated with navigation directions for the user. Information representing visual orientation and positioning information associated with the captured video data is received by one or more computing devices, and a stored data model representing a 3D geometry depicting objects associated with the location is accessed. Between corresponding images from the captured video data and projections of the 3D geometry, one or more candidate change regions are detected. Each candidate change region indicates an area of visual difference between the captured video data and projections. When it is detected that a count of the one or more candidate change regions is below a threshold, the stored model data is updated with at least part of the captured video data based on the visual orientation and positioning information associated with the captured video data.
Abstract translation: 一种示例性方法包括提示用户捕获位置处的视频数据。 该位置与用户的导航方向相关联。 表示与捕获的视频数据相关联的视觉定向和定位信息的信息由一个或多个计算设备接收，并且存储表示描绘与该位置相关联的对象的3D几何的存储的数据模型。 在捕获的视频数据和3D几何的投影的相应图像之间，检测一个或多个候选变化区域。 每个候选变化区域表示所捕获的视频数据和投影之间的视差的区域。 当检测到一个或多个候选变化区域的计数低于阈值时，基于与捕获的视频数据相关联的视觉取向和定位信息，利用所捕获的视频数据的至少一部分来更新存储的模型数据。
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Patent Agency Ranking
公开(公告)号：US20160028972A1
公开(公告)日：2016-01-28
申请号：US14807387
申请日：2015-07-23
Applicant: Google Inc.
Inventor： David Robert Gallup , Steven Maxwell Seitz , Maneesh Agrawala , Robert Evan Carroll
CPC classification number: H04N5/3415 , G06T3/4038 , G06T15/06 , G06T2200/04 , G06T2207/10028 , G06T2207/20221 , H04N5/23238 , H04N5/347 , H04N13/282
Abstract: Methods, systems, and articles of manufacture for generating a panoramic image of a long scene, are disclosed. These include, fitting a plurality of planes to 3D points associated with input images of portions of the long scene, where one or more respective planes are fitted to each of a ground surface, a dominant surface, and at least one of one or more foreground objects and one or more background objects in the long scene, and where distances from the 3D points to the fitted planes are substantially minimized. These also include, selecting, for respective one or more pixels in the panoramic image of the long scene, one of the input images and one of the fitted planes such that a distance is substantially minimized from the selected one of the fitted planes to a surface corresponding to the respective one or more pixels and occlusion of the respective one or more pixels is reduced in the selected one of the input images; and stitching the panoramic image of the long scene by projecting, for the respective one or more pixels in the panoramic image of the long scene, the selected one of the input images using the selected one of the fitted planes into the virtual camera.
Abstract translation: 公开了用于产生长景观的全景图像的方法，系统和制品。 这些包括，将多个平面拟合到与长场景的部分的输入图像相关联的3D点，其中一个或多个相应平面拟合到地面，主表面以及一个或多个前景中的至少一个 物体和一个或多个背景物体，并且距离3D点到拟合平面的距离基本上最小化。 这些还包括，为长景物的全景图像中的相应一个或多个像素选择输入图像之一和拟合平面中的一个，使得距所选择的拟合平面中的一个基本上最小化到表面 对应于相应的一个或多个像素并且在所选择的一个输入图像中减少相应的一个或多个像素的遮挡; 并且通过使用所选择的一个拟合平面将所选择的一个输入图像投影到虚拟相机中，将长视野的全景图像投影到长景物的全景图像中的相应一个或多个像素。
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公开(公告)号：US09087405B2
公开(公告)日：2015-07-21
申请号：US14107163
申请日：2013-12-16
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.
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：US20150154793A1
公开(公告)日：2015-06-04
申请号：US14236320
申请日：2013-07-16
Applicant: Google Inc.
Inventor： Andrew Ofstad , Steven Maxwell Seitz
CPC classification number: G06T15/205 , G06F3/0481 , G06T19/003 , G06T2207/20101 , G06T2207/20108 , G06T2219/028
Abstract: Systems and methods for browsing images of points of interest (POIs) are provided. Indication of selection of POI from among multiple POIs is received. Image graph associated with POI is identified. Image graph includes multiple images of POI. Tour path for POI is defined within image graph. Specific image from tour path defined within image graph is provided for display. Previous image and next image relative to specific image along tour path defined within image graph are determined. First set of additional images from image graph based on specific image is determined. First set of additional images corresponds to set of images in image graph proximate to specific image. Link to previous image or next image, and link to each member of first set of additional images for display with specific image are provided.
Abstract translation: 提供了浏览兴趣点图像（POI）的系统和方法。 接收到从多个POI中选择POI的指示。 识别与POI关联的图像图。 图像包括POI的多个图像。 POI的旅行路径在图像图中定义。 提供图像图中定义的旅游路径的特定图像进行显示。 确定在图像图中定义的沿着旅游路线的相对于特定图像的上一图像和下一图像。 确定基于特定图像的来自图像图形的第一组附加图像。 第一组附加图像对应于靠近特定图像的图像图像中的图像集合。 链接到上一个图像或下一个图像，并链接到第一组附加图像的每个成员，以显示具体的图像。
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公开(公告)号：US09046996B2
公开(公告)日：2015-06-02
申请号：US14056527
申请日：2013-10-17
Applicant: Google Inc.
Inventor： David Gallup , Liyong Chen , Shuchang Zhou , Steven Maxwell Seitz
IPC: G09G5/10 , 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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公开(公告)号：US09036921B2
公开(公告)日：2015-05-19
申请号：US14189686
申请日：2014-02-25
Applicant: Google Inc.
Inventor： Steven Maxwell Seitz , Rahul Garg , Irena Kemelmaher
CPC classification number: G06K9/00308 , G06K9/32 , G06T7/33 , G06T2207/20221 , G06T2207/30201
Abstract: Systems, methods and articles of manufacture for generating sequences of face and expression aligned images are presented. An embodiment includes determining a plurality of candidate images, computing a similarity distance between an input image and each of the candidate images based on facial features in the input image and the candidate images, comparing the computed similarity distances, selecting a candidate image based on the comparing, and adding the selected candidate image to an image sequence for real-time display. Embodiments select images from the image sequence as they are being added to the image sequence and scale, rotate and translate each image so that a face appearing in a selected image is aligned with a face appearing in a subsequently selected image from the image sequence. In this way, embodiments are able to render arbitrarily large image collections efficiently and in real time to display a face and expression aligned movie.
Abstract translation: 提出了用于生成面部和表情对齐图像序列的系统，方法和制品。 实施例包括确定多个候选图像，基于输入图像和候选图像中的面部特征，计算输入图像和每个候选图像之间的相似距离，比较计算出的相似度距离，基于 比较并将所选择的候选图像添加到用于实时显示的图像序列。 实施例从图像序列中选择图像，因为它们被添加到图像序列中并且缩放，旋转和平移每个图像，使得出现在所选择的图像中的面与来自图像序列的随后选择的图像中出现的面对齐。 以这种方式，实施例能够有效地和实时地呈现任意大的图像集合，以显示面部和表情对齐的电影。
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