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公开(公告)号:US11630214B2
公开(公告)日:2023-04-18
申请号:US17806447
申请日:2022-06-10
申请人: Matterport, Inc.
发明人: David Alan Gausebeck , Kirk Stromberg , Louis D. Marzano , David Proctor , Naoto Sakakibara , Simeon Trieu , Kevin Kane , Simon Wynn
IPC分类号: G01S17/931 , G01S17/89 , G01S7/481 , G03B37/00 , H04N5/232
摘要: An apparatus comprising a housing, a mount configured to be coupled to a motor to horizontally move the apparatus, a wide-angle lens coupled to the housing, the wide-angle lens being positioned above the mount thereby being along an axis of rotation, the axis of rotation being the axis along which the apparatus rotates, an image capture device within the housing, the image capture device configured to receive two-dimensional images through the wide-angle lens of environment, and a LiDAR device within the housing, the LiDAR device configured to generate depth data based on the environment.
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公开(公告)号:US11600046B2
公开(公告)日:2023-03-07
申请号:US17165830
申请日:2021-02-02
申请人: Matterport, Inc.
发明人: Matthew Tschudy Bell , David Alan Gausebeck , Gregory William Coombe , Daniel Ford , William John Brown
摘要: Systems and methods for generating three-dimensional models with correlated three-dimensional and two dimensional imagery data are provided. In particular, imagery data can be captured in two dimensions and three dimensions. Imagery data can be transformed into models. Two-dimensional data and three-dimensional data can be correlated within models. Two-dimensional data can be selected for display within a three-dimensional model. Modifications can be made to the three-dimensional model and can be displayed within a three-dimensional model or within two-dimensional data. Models can transition between two dimensional imagery data and three dimensional imagery data.
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公开(公告)号:US10706615B2
公开(公告)日:2020-07-07
申请号:US14962867
申请日:2015-12-08
申请人: Matterport, Inc.
摘要: Systems and techniques for determining and/or generating data for an architectural opening area associated with a three-dimensional (3D) model are presented. A portion of an image associated with a 3D model that corresponds to a window view or another architectural opening area is identified based at least in part on color data or depth data. Furthermore, a surface associated with the 3D model and visual data for the window view or the other architectural opening area is determined. The visual data for the window view or the other architectural opening area is applied to the surface associated with the 3D model.
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公开(公告)号:US20190259194A1
公开(公告)日:2019-08-22
申请号:US16403935
申请日:2019-05-06
申请人: Matterport, Inc.
摘要: Systems and methods for generating three-dimensional models having regions of various resolutions are provided. In particular, imagery data can be captured and utilized to generate three-dimensional models. Regions of texture can be mapped to regions of a three-dimensional model when rendered. Resolutions of texture can be selectively altered and regions of texture can be selectively segmented to reduce texture memory cost. Texture can be algorithmically generated based on alternative texturing techniques. Models can be rendered having regions at various resolutions.
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公开(公告)号:US20190026958A1
公开(公告)日:2019-01-24
申请号:US16141649
申请日:2018-09-25
申请人: Matterport, Inc.
IPC分类号: G06T19/20 , H04N13/10 , H04N13/156 , H04N13/204 , H04N13/106 , H04N13/246
摘要: The disclosed subject matter is directed to employing machine learning models configured to predict 3D data from 2D images using deep learning techniques to derive 3D data for the 2D images. In some embodiments, a method is provided that comprises employing, by a system comprising a processor, one or more three-dimensional data from two-dimensional data (3D-from-2D) neural network models to derive three-dimensional data from one or more two-dimensional images captured of an object or environment from a current perspective of the object or environment viewed on or through a display of the device. The method further comprises, determining, by the system, a position for integrating a graphical data object on or within a representation of the object or environment viewed on or through the display based on the current perspective and the three-dimensional data.
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公开(公告)号:US20190026957A1
公开(公告)日:2019-01-24
申请号:US16141630
申请日:2018-09-25
申请人: Matterport, Inc.
发明人: David Alan Gausebeck
IPC分类号: G06T19/20 , H04N13/10 , H04N13/156 , H04N13/204 , H04N13/106 , H04N13/246
摘要: The disclosed subject matter is directed to employing machine learning models configured to predict 3D data from 2D images using deep learning techniques to derive 3D data for the 2D images. In some embodiments, a method is provided that comprises receiving, by a system comprising a processor, a panoramic image, and employing, by the system, a three-dimensional data from two-dimensional data (3D-from-2D) convolutional neural network model to derive three-dimensional data from the panoramic image, wherein the 3D-from-2D convolutional neural network model employs convolutional layers that wrap around the panoramic image as projected on a two-dimensional plane to facilitate deriving the three-dimensional data.
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公开(公告)号:US10055876B2
公开(公告)日:2018-08-21
申请号:US14298816
申请日:2014-06-06
申请人: Matterport, Inc.
CPC分类号: G06T15/005 , G06T15/04 , G06T17/20 , G06T2200/04 , G06T2200/28
摘要: Systems and methods for generating three-dimensional models having regions of various resolutions are provided. In particular, imagery data can be captured and utilized to generate three-dimensional models. Regions of texture can be mapped to regions of a three-dimensional model when rendered. Resolutions of texture can be selectively altered and regions of texture can be selectively segmented to reduce texture memory cost. Texture can be algorithmically generated based on alternative texturing techniques. Models can be rendered having regions at various resolutions.
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38.
公开(公告)号:US20180144555A1
公开(公告)日:2018-05-24
申请号:US14962867
申请日:2015-12-08
申请人: Matterport, Inc.
摘要: Systems and techniques for determining and/or generating data for an architectural opening area associated with a three-dimensional (3D) model are presented. A portion of an image associated with a 3D model that corresponds to a window view or another architectural opening area is identified based at least in part on color data or depth data. Furthermore, a surface associated with the 3D model and visual data for the window view or the other architectural opening area is determined. The visual data for the window view or the other architectural opening area is applied to the surface associated with the 3D model.
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公开(公告)号:US20160055268A1
公开(公告)日:2016-02-25
申请号:US14298370
申请日:2014-06-06
申请人: Matterport, Inc.
CPC分类号: G06F17/5004 , G06K9/00201 , G06K9/00624 , G06T17/00 , G06T19/00 , G06T2210/04
摘要: Systems and techniques for processing three-dimensional (3D) data are presented. Captured three-dimensional (3D) data associated with a 3D model of an architectural environment is received and at least a portion of the captured 3D data associated with a flat surface is identified. Furthermore, missing data associated with the portion of the captured 3D data is identified and additional 3D data for the missing data is generated based on other data associated with the portion of the captured 3D data.
摘要翻译: 提出了用于处理三维(3D)数据的系统和技术。 接收与建筑环境的3D模型相关联的捕获的三维(3D)数据,并且识别与平坦表面相关联的所捕获的3D数据的至少一部分。 此外,识别与捕获的3D数据的部分相关联的丢失数据,并且基于与捕获的3D数据的该部分相关联的其他数据来生成用于丢失数据的附加3D数据。
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40.
公开(公告)号:US20240193867A1
公开(公告)日:2024-06-13
申请号:US18349911
申请日:2023-07-10
申请人: Matterport, Inc.
IPC分类号: G06T17/20 , G06T3/40 , H04N21/2362
CPC分类号: G06T17/20 , G06T3/40 , G06T2210/04 , G06T2210/08 , G06T2210/36 , H04N21/2362
摘要: Systems and techniques for processing and/or transmitting three-dimensional (3D) data are presented. A partitioning component receives captured 3D data associated with a 3D model of an interior environment and partitions the captured 3D data into at least one data chunk associated with at least a first level of detail and a second level of detail. A data component stores 3D data including at least the first level of detail and the second level of detail for the at least one data chunk. An output component transmits a portion of data from the at least one data chunk that is associated with the first level of detail or the second level of detail to a remote client device based on information associated with the first level of detail and the second level of detail.
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