公开(公告)号：US20150002663A1

公开(公告)日：2015-01-01

申请号：US14250193

申请日：2014-04-10

Applicant: GOOGLE INC.

Inventor： Weibin Pan ,  Liang Hu

IPC: H04N7/18 ,  G06T15/04 ,  G06T11/00 ,  H04N5/232

CPC classification number: G06T11/001 ,  G01C25/00 ,  G06T7/75 ,  H04N5/23229 ,  H04N5/23258

Abstract: A portable device includes a sensor, a video capture module, a processor, and a computer-readable memory that stores instructions. When executed on the processor, the instructions operate to cause the sensor to generate raw sensor data indicative of a physical quantity, cause the video capture module to capture video imagery of a reference object concurrently with the sensor generating raw sensor data when the portable device is moving relative to the reference object, and cause the processor to calculate correction parameters for the sensor based on the captured video imagery of the reference object and the raw sensor data.

Abstract translation: 便携式设备包括传感器，视频采集模块，处理器和存储指令的计算机可读存储器。 当在处理器上执行时，指令操作以使传感器产生指示物理量的原始传感器数据，导致视频捕获模块在传感器产生原始传感器数据的同时捕获参考对象的视频图像，当便携式设备是 并且使得处理器基于所捕获的参考对象的视频图像和原始传感器数据来计算传感器的校正参数。

公开(公告)号：US11003729B2

公开(公告)日：2021-05-11

申请号：US14651381

申请日：2012-12-12

Applicant: Google Inc. ,  Jinyu Lou

Inventor： Jinyu Lou ,  Ying Chai ,  Chen Ding ,  Lijie Chen ,  Liang Hu ,  Kejia Liu ,  Weibin Pan ,  Yanlai Huang ,  David Francois Huynh

IPC: G06F16/953 ,  G06F16/28 ,  G06F16/9537 ,  G06F16/248

Abstract: A technique for providing search results may include determining a first entity type, a second entity type, and a relationship type based on a compositional query. The technique may also include identifying nodes of a knowledge graph corresponding to entity references of the first entity type and entity references of the second entity type. The technique may also include determining from the knowledge graph an attribute value corresponding to the relationship type for each entity reference of the first entity type and for each entity reference of the second entity type. The technique may also include comparing the attribute value of each entity reference of the first entity type with the attribute value of each entity reference of the second entity type. The technique may also include determining one or more resultant entity references from the entity references of the first entity type based on the comparing.

公开(公告)号：US09542773B2

公开(公告)日：2017-01-10

申请号：US14761803

申请日：2013-05-23

Applicant: Google Inc.

Inventor： Weibin Pan ,  Liang Hu

IPC: G06T17/00 ,  G06T15/20 ,  G06T7/00 ,  G06T3/60 ,  H04N13/02

CPC classification number: G06T17/00 ,  G06T3/60 ,  G06T7/55 ,  G06T7/593 ,  G06T7/75 ,  G06T15/20 ,  G06T2200/04 ,  G06T2200/08 ,  G06T2200/21 ,  G06T2207/10004 ,  G06T2219/2016 ,  H04N13/207

Abstract: Embodiments include a computer-implemented method for generating a three-dimensional (3D) model. The method includes receiving a first and second sets of sensed position data indicative of a position of a camera device(s) at or near a time when it is used to acquire first and second images of an image pair, respectively, determining a sensed rotation matrix and/or a sensed translation vector for the image pair using the first and second sets of sensed position data, identifying a calculated transformation including a calculated translation vector and rotation matrix, generating a sensed camera transformation including the sensed rotation matrix and/or the sensed translation vector, and, if the sensed camera transformation is associated with a lower error than the calculated camera transformation, using it to generate a 3D model.

Abstract translation: 实施例包括用于产生三维（3D）模型的计算机实现的方法。 该方法包括：接收第一和第二组感测到的位置数据，其指示摄像机设备的位置处于或接近用于分别获取图像对的第一和第二图像的时间，确定感测到的旋转 使用第一和第二组感测到的位置数据来确定图像对的矩阵和/或感测的平移向量，识别包括计算的平移向量和旋转矩阵的计算的变换，生成包括所感测的旋转矩阵和/或 感测的平移向量，并且如果感测的相机变换与所计算的相机变换相比具有较低的误差，则使用它来生成3D模型。

公开(公告)号：US20150363971A1

公开(公告)日：2015-12-17

申请号：US14761803

申请日：2013-05-23

Applicant: Google Inc.

Inventor： Weibin Pan ,  Liang Hu

IPC: G06T17/00 ,  H04N13/02 ,  G06T15/20 ,  G06T7/00 ,  G06T3/60

CPC classification number: G06T17/00 ,  G06T3/60 ,  G06T7/55 ,  G06T7/593 ,  G06T7/75 ,  G06T15/20 ,  G06T2200/04 ,  G06T2200/08 ,  G06T2200/21 ,  G06T2207/10004 ,  G06T2219/2016 ,  H04N13/207

Abstract: Embodiments include a computer-implemented method for generating a three-dimensional (3D) model. The method includes receiving a first and second sets of sensed position data indicative of a position of a camera device(s) at or near a time when it is used to acquire first and second images of an image pair, respectively, determining a sensed rotation matrix and/or a sensed translation vector for the image pair using the first and second sets of sensed position data, identifying a calculated transformation including a calculated translation vector and rotation matrix, generating a sensed camera transformation including the sensed rotation matrix and/or the sensed translation vector, and, if the sensed camera transformation is associated with a lower error than the calculated camera transformation, using it to generate a 3D model.

Abstract translation: 实施例包括用于产生三维（3D）模型的计算机实现的方法。 该方法包括：接收第一和第二组感测到的位置数据，其指示摄像机设备的位置处于或接近用于分别获取图像对的第一和第二图像的时间，确定感测到的旋转 使用第一和第二组感测到的位置数据来确定图像对的矩阵和/或感测的平移向量，识别包括计算的平移向量和旋转矩阵的计算的变换，生成包括所感测的旋转矩阵和/或 感测的平移向量，并且如果感测的相机变换与所计算的相机变换相比具有较低的误差，则使用它来生成3D模型。