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    • 11. 发明授权
    • Aerial roof estimation system and method
    • 空中屋顶估算系统及方法
    • US08145578B2
    • 2012-03-27
    • US12148439
    • 2008-04-17
    • Chris PershingDave Carlson
    • Chris PershingDave Carlson
    • G06F17/00G06F7/60G06F17/10G06G7/00G06Q40/00G06Q50/00
    • G06Q30/0206G06Q10/00G06Q30/0283G06Q40/08G06Q50/16
    • A system that allows the remote measurement of the size, geometry, pitch and orientation of the roof sections of a building and then uses the information to provide an estimate to repair or replace the roof, or to install equipment thereon. The system includes an aerial image file database that shows aerial images of buildings in a designated area according to address. The slope and orientation images are typically oblique perspective views and top plan views of the buildings in the area. The system also includes an image analysis and calibration feature that enables the viewer to closely estimate the size, geometry and orientation of the building's roof sections. The information can then be used to prepare a cost estimate for the repair or replacement of the roof or installation of roof equipment. By simply inputting the potential customer's address, the company is able to determine the size, geometry, pitch and orientation of the roof sections of the building at that address, and then quickly provide an accurate estimate to the customer.
    • 允许远程测量建筑物屋顶部分的尺寸,几何形状,俯仰和方向的系统,然后使用该信息来提供对屋顶的修理或更换或在其上安装设备的估计。 该系统包括一个航空图像文件数据库,根据地址显示指定区域内的建筑物的空中图像。 倾斜和定向图像通常是该区域的建筑物的倾斜透视图和俯视图。 该系统还包括图像分析和校准功能,使得观看者可以仔细估计建筑物屋顶部分的尺寸,几何形状和方位。 然后可以使用这些信息来准备屋顶设备的屋顶或安装的修理或更换的成本估算。 通过简单地输入潜在客户的地址,公司能够确定该地址的建筑物屋顶部分的尺寸,几何形状,倾斜度和方位,然后快速为客户提供准确的估计。
    • 12. 发明申请
    • GEOMETRIC CORRECTION OF ROUGH WIREFRAME MODELS DERIVED FROM PHOTOGRAPHS
    • 从摄影中衍生出的粗糙线条模型的几何校正
    • US20110187713A1
    • 2011-08-04
    • US13019228
    • 2011-02-01
    • Chris PershingJohn F. Keane
    • Chris PershingJohn F. Keane
    • G06T17/00
    • G06T17/20G06T19/20G06T2210/04
    • Geometric correction of rough wireframe models derived from photographs may include rectification of either a 2D or 3D original wireframe model of a roof structure, derivation of metadata from the original wireframe, in-plane normalization of the wireframe, extrusion into a “rough” 3D wireframe based on the normalized wireframe, and correction of the “rough” 3D wireframe. The correction and normalization may be an iterative process based on initial pitch values, metadata derived from the original or corrected wireframe models and defined constraints regarding relationships between roof portions or segments. The iterative process may repeat adjusting the wireframe model until the adjusting converges to a stable state according to the various defined constraints.
    • 从照片得到的粗略线框模型的几何校正可能包括校正屋顶结构的2D或3D原始线框模型,从原始线框导出元数据,线框架的平面内归一化,挤压成“粗略”3D线框 基于归一化的线框,以及“粗糙”3D线框的校正。 校正和归一化可以是基于初始间距值的迭代过程,来自原始或校正的线框模型的元数据以及关于屋顶部分或段之间的关系的限定的约束。 迭代过程可以重复调整线框模型,直到调整根据各种限定的约束收敛到稳定状态。
    • 15. 发明授权
    • Automated roof identification systems and methods
    • 自动屋顶识别系统和方法
    • US08731234B1
    • 2014-05-20
    • US12590131
    • 2009-11-02
    • Christopher Albert CiarciaChris Pershing
    • Christopher Albert CiarciaChris Pershing
    • G06K9/00
    • G06K9/00624G06K9/00637G06K9/44G06K9/4604G06K9/6203G06K9/6271G06K9/66
    • Automatic roof identification systems and methods are described. Example embodiments include a roof estimation system configured to automatically detect a roof in a target image of a building having a roof. In one embodiment, automatically detecting a roof in a target image includes training one or more artificial intelligence systems to identify likely roof sections of an image. The artificial intelligence systems are trained on historical image data or an operator-specified region of interest within the target image. Then, a likely outline of the roof in the target image can be determined based on the trained artificial intelligence systems. The likely roof outline can be used to generate a roof estimate report. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    • 描述了自动屋顶识别系统和方法。 示例性实施例包括被配置为自动检测具有屋顶的建筑物的目标图像中的屋顶的屋顶估计系统。 在一个实施例中,自动检测目标图像中的屋顶包括训练一个或多个人造智能系统以识别图像的可能屋顶部分。 人工智能系统对目标图像中的历史图像数据或操作者指定的感兴趣区域进行训练。 然后,可以基于经训练的人造智能系统来确定目标图像中屋顶的可能​​轮廓。 可能的屋顶大纲可用于生成屋顶估计报告。 提供本摘要以符合要求摘要的规则,并提交其意图是不会用于解释或限制权利要求书的范围或含义。
    • 16. 发明申请
    • SYSTEMS AND METHODS FOR ESTIMATION OF BUILDING FLOOR AREA
    • 建筑面积估算系统与方法
    • US20130204575A1
    • 2013-08-08
    • US13385607
    • 2012-02-03
    • Chris Pershing
    • Chris Pershing
    • G01B21/28G06F17/00
    • G01B21/28G06F17/00G06Q10/06G06Q50/16
    • A system generates an estimated floor area measurement of a building based on the calculated estimated total roof area of the roof of the building. This is based on a correlation between the size of the building roof and the size of the building. Typically, the floor area of a single full floor of the building is roughly the size of the roof of the building if the roof were flat with no slope (i.e., virtually turning the roof into another floor to generate estimated floor area). With additional adjustments to area measurements to account for multiple floors, roof overhang, wall width, internal building features such as walls and staircases, and/or obstructed views of the building in the aerial image(s), etc., an even more accurate floor area estimation may be generated.
    • 系统基于建筑物屋顶的计算出的估计总屋顶面积来生成建筑物的估计楼面面积测量值。 这是基于建筑物屋顶的大小与建筑物的大小之间的相关性。 通常,如果屋顶是平坦的,没有斜坡(即,实际上将屋顶变成另一个楼层以产生估计的楼面面积),建筑物的单个整个楼层的楼面面积大致是建筑物屋顶的大小。 通过对面积测量进行额外的调整以占据多层,屋顶悬垂,墙壁宽度,内部建筑特征(例如墙壁和楼梯)和/或空中图像中建筑物的障碍物视图等,更准确 可能产生楼面面积估计。
    • 17. 发明申请
    • SYSTEMS AND METHODS FOR ESTIMATION OF BUILDING WALL AREA
    • 建筑墙面估算系统与方法
    • US20130202157A1
    • 2013-08-08
    • US13385606
    • 2012-02-03
    • Chris Pershing
    • Chris Pershing
    • G01B21/28G06F17/50G06F17/00
    • G01B21/28G01C11/04G06F17/00G06F17/5004
    • A wall area estimation system generates an estimated wall area measurement of a building based on the received roof measurements (e.g., those generated by, received from or found in a three dimensional model of the roof) and a reference distance. The reference distance is a measurement indicative of a distance between a reference point on the roof and a ground surface. This reference distance may be used to determine how for down to extend the walls of the building (e.g., to a ground level) when building a three dimensional digital model of the building to aid in generating wall area measurements. The resulting wall measurements, roof measurements, measurements of areas missing from the wall used to generate a wall estimate report, or a combined roof and wall estimate report including various different identifiers indicating the different features and measurements based on the three dimensional model.
    • 壁面估计系统基于接收到的屋顶测量(例如,由屋顶的三维模型中接收或发现的屋顶测量值)和参考距离来生成建筑物的估计墙面积测量值。 参考距离是表示屋顶上的参考点和地面之间的距离的测量值。 当构建建筑物的三维数字模型以帮助产生壁面测量时,该参考距离可以用于确定如何向下延伸建筑物的墙壁(例如,到地平面)。 所产生的墙壁测量,屋顶测量,用于产生墙壁估计报告的墙壁缺失的测量值,或包括基于三维模型指示不同特征和测量的各种不同标识符的组合屋顶和墙壁估计报告。
    • 18. 发明授权
    • Concurrent display systems and methods for aerial roof estimation
    • 并机显示系统和方法进行天花屋顶估算
    • US08209152B2
    • 2012-06-26
    • US12467250
    • 2009-05-15
    • Chris Pershing
    • Chris Pershing
    • G06F17/50
    • G06F17/5004G06K9/00637G06T7/593G06T11/60G06T17/20G06T2207/10012G06T2207/30184
    • User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. The user interface is further configured to concurrently display roof features onto multiple images of a roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    • 描述用于屋顶估计的用户界面系统和方法。 示例性实施例包括屋顶估计系统,其提供被配置为基于建筑物屋顶的一个或多个空中图像促进屋顶模型生成的用户界面。 在一个实施例中,屋顶模型生成包括图像配准,图像偏差校正,屋顶部分俯仰确定,线框模型构造和/或屋顶模型评估。 所描述的用户界面提供用户界面控制,其可由操作者操纵以执行屋顶模型生成的至少一些功能。 用户界面还被配置为同时将屋顶特征显示在屋顶的多个图像上。 提供本摘要以符合要求摘要的规则,并提交其意图是不会用于解释或限制权利要求书的范围或含义。
    • 19. 发明申请
    • CONCURRENT DISPLAY SYSTEMS AND METHODS FOR AERIAL ROOF ESTIMATION
    • 同轴显示系统和方法估算的方法
    • US20100114537A1
    • 2010-05-06
    • US12467250
    • 2009-05-15
    • Chris Pershing
    • Chris Pershing
    • G06F17/50
    • G06F17/5004G06K9/00637G06T7/593G06T11/60G06T17/20G06T2207/10012G06T2207/30184
    • User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. The user interface is further configured to concurrently display roof features onto multiple images of a roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    • 描述用于屋顶估计的用户界面系统和方法。 示例性实施例包括屋顶估计系统,其提供被配置为基于建筑物屋顶的一个或多个空中图像促进屋顶模型生成的用户界面。 在一个实施例中,屋顶模型生成包括图像配准,图像偏差校正,屋顶部分俯仰确定,线框模型构造和/或屋顶模型评估。 所描述的用户界面提供用户界面控制,其可由操作者操纵以执行屋顶模型生成的至少一些功能。 用户界面还被配置为同时将屋顶特征显示在屋顶的多个图像上。 提供本摘要以符合要求摘要的规则,并提交其意图是不会用于解释或限制权利要求书的范围或含义。