Method and apparatus for identifying buildings in textured 3D mesh data and generating 3D building models

    公开(公告)号:US10332309B2

    公开(公告)日:2019-06-25

    申请号:US14862791

    申请日:2015-09-23

    申请人: HERE Global B.V.

    摘要: An approach is provided for identifying objects present in mesh representation of a geo-location, generating accurate 3D models for the objects, and aligning the 3D models to their corresponding objects in an application. The approach comprises processing and/or facilitating a processing of textured three-dimensional mesh data in one or more regions of interest to cause, at least in part, a generation of at least one two-dimensional depth image representation. The approach further comprises causing, at least in part, a filtering of the textured three-dimensional mesh data in the one or more regions of interest to remove mesh data below at least one threshold height based, at least in part, on the at least one two-dimensional depth image representation. Additionally, the approach comprises processing and/or facilitating a processing of the filtered textured three-dimensional mesh data to cause, at least in part, a generation of at least one partial three-dimensional model, including one or more upper facades above the at least one threshold height, of one or more objects located within the one or more regions of interest.

    METHOD FOR COMPRESSING AND RECONSTRUCTING DATA SAMPLED FROM CONTINUOUS FUNCTIONS
    2.
    发明申请
    METHOD FOR COMPRESSING AND RECONSTRUCTING DATA SAMPLED FROM CONTINUOUS FUNCTIONS 审中-公开
    压缩和重构连续功能数据的方法

    公开(公告)号:US20150142990A1

    公开(公告)日:2015-05-21

    申请号:US14084032

    申请日:2013-11-19

    申请人: HERE Global B.V.

    IPC分类号: H04L29/06 H04L29/08

    摘要: A method comprises obtaining data points, each comprised of a time stamp and measurement; dividing the data points into sequences of consecutive data points; limiting the maximum time between consecutive data points in the same sequence; limiting the maximum time between the earliest and latest data points in each sequence; calculating a polynomial of lowest transmission cost for each sequence; limiting the approximation error between the data points in a sequence and the associated polynomial; and transmitting, to a server, data based on the calculated polynomial.

    摘要翻译: 一种方法包括获得每个由时间戳和测量组成的数据点; 将数据点划分为连续数据点的序列; 以相同的顺序限制连续数据点之间的最大时间; 限制每个序列中最早和最新数据点之间的最大时间; 计算每个序列的最低传输成本的多项式; 限制序列中的数据点与相关多项式之间的近似误差; 以及基于所计算的多项式向服务器发送数据。

    Method for compressing and reconstructing data sampled from continuous functions

    公开(公告)号:US10122831B2

    公开(公告)日:2018-11-06

    申请号:US14084032

    申请日:2013-11-19

    申请人: HERE Global B.V.

    摘要: A method comprises obtaining data points, each comprised of a time stamp and measurement; dividing the data points into sequences of consecutive data points; limiting the maximum time between consecutive data points in the same sequence; limiting the maximum time between the earliest and latest data points in each sequence; calculating a polynomial of lowest transmission cost for each sequence; limiting the approximation error between the data points in a sequence and the associated polynomial; and transmitting, to a server, data based on the calculated polynomial.

    Method and apparatus for classifying objects and clutter removal of some three-dimensional images of the objects in a presentation

    公开(公告)号:US09842282B2

    公开(公告)日:2017-12-12

    申请号:US14719523

    申请日:2015-05-22

    申请人: HERE Global B.V.

    摘要: An approach is provided for classifying objects that are present at a geo-location and providing an uncluttered presentation of images of some of the objects in an application such as a map application. The approach includes determining one or more regions of interest associated with at least one geo-location, wherein the one or more regions of interest are at least one textured three-dimensional representation of one or more objects that may be present at the at least one geo-location. The approach also includes processing and/or facilitating a processing of the at least one textured three-dimensional representation to determine at least one two-dimensional footprint and three-dimensional geometry information for the one or more objects. The approach further includes causing, at least in part, a generation of at least one two-dimensional image representation of the one or more regions of interest by causing, at least in part, a projection of three-dimensional texture information of the at least one textured three-dimensional representation onto the at least one two-dimensional footprint. The approach also includes causing, at least in part, a classification of the one or more objects based, at least in part, on the at least one two-dimensional image representation and the three-dimensional geometry information.