Patents by Inventor David Alan Gausebeck
David Alan Gausebeck has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11943539Abstract: An environmental capture system (ECS) captures image data and depth information in a 360-degree scene. The captured image data and depth information can be used to generate a 360-degree scene. The ECS comprises a frame, a drive train mounted to the frame, and an image capture device coupled to the drive train to capture, while pointed in a first direction, a plurality of images at different exposures in a first field of view (FOV) of the 360-degree scene. The ECS further comprises a depth information capture device coupled to the drive train. The depth information capture device and the image capture device are rotated by the drive train about a first, substantially vertical, axis from the first direction to a second direction. The depth information capture device, while being rotated from the first direction to the second direction, captures depth information for a first portion of the 360-degree scene.Type: GrantFiled: May 13, 2022Date of Patent: March 26, 2024Assignee: Matterport, Inc.Inventors: David Alan Gausebeck, Kirk Stromberg, Louis D. Marzano, David Proctor, Naoto Sakakibara, Simeon Trieu, Kevin Kane, Simon Wynn
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Patent number: 11852732Abstract: 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.Type: GrantFiled: April 3, 2023Date of Patent: December 26, 2023Assignee: Matterport, Inc.Inventors: David Alan Gausebeck, Kirk Stromberg, Louis D. Marzano, David Proctor, Naoto Sakakibara, Simeon Trieu, Kevin Kane, Simon Wynn
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Publication number: 20230306688Abstract: 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.Type: ApplicationFiled: February 17, 2023Publication date: September 28, 2023Applicant: Matterport, Inc.Inventors: Matthew Tschudy Bell, David Alan Gausebeck, Gregory William Coombe, Daniel Ford, William John Brown
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Patent number: 11741669Abstract: 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.Type: GrantFiled: August 17, 2021Date of Patent: August 29, 2023Assignee: Matterport, Inc.Inventors: Matthew Tschudy Bell, David Alan Gausebeck, Gregory William Coombe, Daniel Ford
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Publication number: 20230269353Abstract: This application generally relates to capturing and aligning panoramic image and depth data. In one embodiment, a device is provided that comprises a housing and a plurality of cameras configured to capture two-dimensional images, wherein the cameras are arranged at different positions on the housing and have different azimuth orientations relative to a center point such that the cameras have a collective field-of-view spanning up to 360° horizontally. The device further comprises a plurality of depth detection components configured to capture depth data, wherein the depth detection components are arranged at different positions on the housing and have different azimuth orientations relative to the center point such that the depth detection components have the collective field-of-view spanning up to 360° horizontally.Type: ApplicationFiled: April 27, 2023Publication date: August 24, 2023Applicant: Matterport, Inc.Inventors: Kyle Simek, David Alan Gausebeck, Matthew Tschudy Bell
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Publication number: 20230243978Abstract: 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.Type: ApplicationFiled: April 3, 2023Publication date: August 3, 2023Applicant: Matterport, Inc.Inventors: David Alan Gausebeck, Kirk Stromberg, Louis D. Marzano, David Proctor, Naoto Sakakibara, Simeon Trieu, Kevin Kane, Simon Wynn
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Publication number: 20230199316Abstract: An example system comprises a base with a bottom end and a top end opposite the bottom end, a motor within the base, the motor being coupled to a rotational component of the base and configured to turn the rotational component about an axis of rotation, the rotational component being at the top end of the base, the axis of rotation being perpendicular to the top end of the base, and an arm coupled to the rotational component, the arm configured to move a holding member above the top of the base, the holding member configurable to hold a digital device above the top end of the base, the arm being adjustable to position and tilt the holding member, the rotational component being capable of turning the arm and the holding member, the arm configured to tilt the holding member at a first angle relative to the arm.Type: ApplicationFiled: December 17, 2021Publication date: June 22, 2023Applicant: MatterportInventors: Japjit Tulsi, Lou Marzano, Abhijit Limaye, David Lippman, David Alan Gausebeck
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Patent number: 11640000Abstract: 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.Type: GrantFiled: May 23, 2022Date of Patent: May 2, 2023Assignee: Matterport, Inc.Inventors: David Alan Gausebeck, Kirk Stromberg, Louis D. Marzano, David Proctor, Naoto Sakakibara, Simeon Trieu, Kevin Kane, Simon Wynn
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Patent number: 11630214Abstract: 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.Type: GrantFiled: June 10, 2022Date of Patent: April 18, 2023Assignee: Matterport, Inc.Inventors: David Alan Gausebeck, Kirk Stromberg, Louis D. Marzano, David Proctor, Naoto Sakakibara, Simeon Trieu, Kevin Kane, Simon Wynn
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Patent number: 11600046Abstract: 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.Type: GrantFiled: February 2, 2021Date of Patent: March 7, 2023Assignee: Matterport, Inc.Inventors: Matthew Tschudy Bell, David Alan Gausebeck, Gregory William Coombe, Daniel Ford, William John Brown
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Publication number: 20220334262Abstract: 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.Type: ApplicationFiled: June 10, 2022Publication date: October 20, 2022Applicant: Matterport, Inc.Inventors: David Alan Gausebeck, Kirk Stromberg, Louis D. Marzano, David Proctor, Naoto Sakakibara, Simeon Trieu, Kevin Kane, Simon Wynn
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Publication number: 20220321780Abstract: An environmental capture system (ECS) captures image data and depth information in a 360-degree scene. The captured image data and depth information can be used to generate a 360-degree scene. The ECS comprises a frame, a drive train mounted to the frame, and an image capture device coupled to the drive train to capture, while pointed in a first direction, a plurality of images at different exposures in a first field of view (FOV) of the 360-degree scene. The ECS further comprises a depth information capture device coupled to the drive train. The depth information capture device and the image capture device are rotated by the drive train about a first, substantially vertical, axis from the first direction to a second direction. The depth information capture device, while being rotated from the first direction to the second direction, captures depth information for a first portion of the 360-degree scene.Type: ApplicationFiled: May 13, 2022Publication date: October 6, 2022Inventors: David Alan Gausebeck, Kirk Stromberg, Lou Marzano, David Proctor, Naoto Sakakibara, Simeon Trieu, Kevin Kane, Simon Wynn
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Publication number: 20220317307Abstract: 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.Type: ApplicationFiled: May 23, 2022Publication date: October 6, 2022Applicant: Matterport, Inc.Inventors: David Alan Gausebeck, Kirk Stromberg, Louis D. Marzano, David Proctor, Naoto Sakakibara, Simeon Trieu, Kevin Kane, Simon Wynn
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Publication number: 20220207849Abstract: 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.Type: ApplicationFiled: March 15, 2022Publication date: June 30, 2022Applicant: Matterport, Inc.Inventor: David Alan Gausebeck
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Patent number: 11282287Abstract: 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.Type: GrantFiled: September 25, 2018Date of Patent: March 22, 2022Assignee: Matterport, Inc.Inventor: David Alan Gausebeck
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Patent number: 11263823Abstract: 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.Type: GrantFiled: September 25, 2018Date of Patent: March 1, 2022Assignee: Matterport, Inc.Inventors: David Alan Gausebeck, Babak Robert Shakib
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Publication number: 20210375047Abstract: 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.Type: ApplicationFiled: August 17, 2021Publication date: December 2, 2021Applicant: Matterport, Inc.Inventors: Matthew Tschudy Bell, David Alan Gausebeck, Gregory William Coombe, Daniel Ford
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Patent number: 11164394Abstract: 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 operatively coupled to a processor, a two-dimensional image, and determining, by the system, auxiliary data for the two-dimensional image, wherein the auxiliary data comprises orientation information regarding a capture orientation of the two-dimensional image. The method further comprises, deriving, by the system, three-dimensional information for the two-dimensional image using one or more neural network models configured to infer the three-dimensional information based on the two-dimensional image and the auxiliary data.Type: GrantFiled: September 25, 2018Date of Patent: November 2, 2021Assignee: Matterport, Inc.Inventor: David Alan Gausebeck
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Patent number: 11094137Abstract: 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 system is described comprising a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a reception component configured to receive two-dimensional images, and a three-dimensional data derivation component configured to employ one or more three-dimensional data from two-dimensional data (3D-from-2D) neural network models to derive three-dimensional data for the two-dimensional images.Type: GrantFiled: September 25, 2018Date of Patent: August 17, 2021Assignee: Matterport, Inc.Inventors: David Alan Gausebeck, Matthew Tschudy Bell, Waleed K. Abdulla, Peter Kyuhee Hahn
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Patent number: 11094117Abstract: 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.Type: GrantFiled: March 10, 2020Date of Patent: August 17, 2021Assignee: Matterport, Inc.Inventors: Matthew Tschudy Bell, David Alan Gausebeck, Gregory William Coombe, Daniel Ford