Patents by Inventor William Castillo
William Castillo 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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Publication number: 20230171485Abstract: An image capture system provides automated prompts for aiding a user in capturing images for use in 3D model creation. While a user is preparing to capture an image, the system provides visual indications that indicate whether a quality-based condition is satisfied. Based on the visual indications, a user can determine whether an image, if captured, would likely be suitable for use in creating a 3D model. Determining if the quality-based condition is satisfied may include monitoring output generated by one or more sensors and comparing the output against a threshold value. Additionally, the system may analyze the visual content or metadata associated with an image to determine if the quality-based condition is satisfied and request user input to further identify certain image features that were identified by the system.Type: ApplicationFiled: December 27, 2022Publication date: June 1, 2023Inventors: Manish Upendran, William Castillo, Derek Halliday
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Patent number: 11663776Abstract: A computer system maintains structure data indicating geometrical constraints for each structure category of a plurality of structure categories. The computer system generates a virtual 3D representation of a structure based on a set of images depicting the structure. For each image in the set of images, one or more landmarks are identified. Based on the landmarks, a candidate structure category is selected. The virtual 3D representation is generated based on the geometrical constraints of the candidate structure category and the landmarks identified in the set of images.Type: GrantFiled: July 19, 2021Date of Patent: May 30, 2023Assignee: HOVER Inc.Inventors: Ajay Mishra, Manish Upendran, A. J. Altman, William Castillo
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Publication number: 20230154107Abstract: Systems and methods are disclosed for guiding image capture of a subject by determining a location of the subject and presenting on a display graphical guides representative of perspective views of the subject to be captured. Images of the subject may then be captured and additional graphical guides are presented to the user for display for additional images to be captured. Images may be captured in a predetermined sequence of graphical guides or responsive to a user input or camera information. Captured images may be uploaded to a system for additional processing.Type: ApplicationFiled: January 6, 2023Publication date: May 18, 2023Applicant: Hover Inc.Inventors: William Castillo, Manish Upendran, Ajay Mishra, Adam J. Altman
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Publication number: 20230092286Abstract: A process for receiving, from a computing device, a series of captured building images. The process continues by processing, in real-time, each building image in the series of captured building images to determine if each building image meets a minimum criterion, wherein the minimum criteria includes applicability to be used in constructing a specific digital multi-dimensional building model. The process continues by aggregating each image meeting the minimum criteria, determining when a base set of building images has been aggregated, wherein the base set of building images includes a threshold number images to model at least a partial multi-dimensional building model representing the series of captured building images, determining one or more facades present in the partial multi-dimensional building model, determining preliminary dimensions for one or more architectural features of the one or more facades and returning, incrementally (in real-time), the preliminary dimensions to the computing device.Type: ApplicationFiled: November 23, 2022Publication date: March 23, 2023Applicant: Hover Inc.Inventors: Manish Upendran, William Castillo, Ajay Mishra, Adam J. Altman
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Patent number: 11593991Abstract: A computer system maintains structure data indicating geometrical constraints for each structure category of a plurality of structure categories. The computer system generates a virtual 3D representation of a structure based on a set of images depicting the structure. For each image in the set of images, one or more landmarks are identified. Based on the landmarks, a candidate structure category is selected. The virtual 3D representation is generated based on the geometrical constraints of the candidate structure category and the landmarks identified in the set of images.Type: GrantFiled: July 19, 2021Date of Patent: February 28, 2023Assignee: HOVER Inc.Inventors: Ajay Mishra, Manish Upendran, A. J. Altman, William Castillo
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Patent number: 11574440Abstract: Systems and methods are disclosed for guiding image capture of a subject by determining a location of the subject and presenting on a display graphical guides representative of perspective views of the subject to be captured. Images of the subject may then be captured and additional graphical guides are presented to the user for display for additional images to be captured. Images may be captured in a predetermined sequence of graphical guides or responsive to a user input or camera information. Captured images may be uploaded to a system for additional processing.Type: GrantFiled: March 10, 2021Date of Patent: February 7, 2023Assignee: Hover Inc.Inventors: William Castillo, Manish Upendran, Ajay Mishra, Adam J. Altman
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Publication number: 20230021025Abstract: A computer system trains a machine learning model to estimate a real-world measurement of a feature of a structure. The machine learning model is trained using a plurality of digital image sets, wherein each image set depicts a particular structure, and a plurality of measurements, wherein each measurement is a measurement of a feature of a particular structure. After the machine learning model is trained, it is used to estimate a measurement of a feature of a particular structure depicted in a particular image set.Type: ApplicationFiled: September 23, 2022Publication date: January 19, 2023Inventors: Ajay Mishra, William Castillo, A.J. Altman, Manish Upendran
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Patent number: 11558547Abstract: An image capture system provides automated prompts for aiding a user in capturing images for use in 3D model creation. While a user is preparing to capture an image, the system provides visual indications that indicate whether a quality-based condition is satisfied. Based on the visual indications, a user can determine whether an image, if captured, would likely be suitable for use in creating a 3D model. Determining if the quality-based condition is satisfied may include monitoring output generated by one or more sensors and comparing the output against a threshold value. Additionally, the system may analyze the visual content or metadata associated with an image to determine if the quality-based condition is satisfied and request user input to further identify certain image features that were identified by the system.Type: GrantFiled: March 21, 2022Date of Patent: January 17, 2023Assignee: Hover Inc.Inventors: Manish Upendran, William Castillo, Derek Halliday
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Patent number: 11538219Abstract: A process for creating, responsive to a desired analysis, estimate information from received imagery by determining whether the imagery meets a minimum criterion for creating a multi-dimensional model that can address the desired analysis and building an aggregate set of images meeting the minimum criterion from which a multi-dimensional model is then built and an estimate responsive to the desired analysis is derived. The multi-dimensional model, and the responsive estimate, may be refined as additional images are provided to the aggregate set. Desired analyses may include dimensions such as square footage of a roof for building objects.Type: GrantFiled: September 4, 2020Date of Patent: December 27, 2022Assignee: Hover Inc.Inventors: Manish Upendran, William Castillo, Ajay Mishra, Adam J. Altman
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Patent number: 11481993Abstract: A computer system trains a machine learning model to estimate a real-world measurement of a feature of a structure. The machine learning model is trained using a plurality of digital image sets, wherein each image set depicts a particular structure, and a plurality of measurements, wherein each measurement is a measurement of a feature of a particular structure. After the machine learning model is trained, it is used to estimate a measurement of a feature of a particular structure depicted in a particular image set.Type: GrantFiled: September 11, 2017Date of Patent: October 25, 2022Assignee: HOVER INC.Inventors: Ajay Mishra, William Castillo, A. J. Altman, Manish Upendran
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Publication number: 20220327792Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining images of the building structure, including non-camera anchors. The method also includes identifying reference poses for images based on the non-camera anchors. The method also includes obtaining world map data including real-world poses for the images. The method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on correlating the reference poses with the selected candidate poses. Some implementations use structure from motion techniques or LiDAR, in addition to augmented reality frameworks, for scaling the 3-D representations of the building structure. In some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-D representation.Type: ApplicationFiled: May 31, 2022Publication date: October 13, 2022Inventors: Manish Upendran, William Castillo, Jena Dzitsiuk, Yunwen Zhou, Matthew Thomas
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Publication number: 20220284618Abstract: A computer system generates an outline of a roof of a structure based on a set of lateral images depicting the structure. For each image in the set of lateral images, one or more rooflines corresponding to the roof of the structure are determined. The computer system determines how the rooflines connect to one another. Based on the determination, the rooflines are connected to generate an outline of the roof.Type: ApplicationFiled: May 23, 2022Publication date: September 8, 2022Applicant: Hover Inc.Inventors: Ajay Mishra, William Castillo, A.J. Altman, Manish Upendran
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Publication number: 20220284617Abstract: A computer system generates an outline of a roof of a structure based on a set of lateral images depicting the structure. For each image in the set of lateral images, one or more rooflines corresponding to the roof of the structure are determined. The computer system determines how the rooflines connect to one another. Based on the determination, the rooflines are connected to generate an outline of the roof.Type: ApplicationFiled: May 23, 2022Publication date: September 8, 2022Applicant: Hover Inc.Inventors: Ajay Mishra, William Castillo, A.J. Altman, Manish Upendran
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Publication number: 20220217268Abstract: An image capture system provides automated prompts for aiding a user in capturing images for use in 3D model creation. While a user is preparing to capture an image, the system provides visual indications that indicate whether a quality-based condition is satisfied. Based on the visual indications, a user can determine whether an image, if captured, would likely be suitable for use in creating a 3D model. Determining if the quality-based condition is satisfied may include monitoring output generated by one or more sensors and comparing the output against a threshold value. Additionally, the system may analyze the visual content or metadata associated with an image to determine if the quality-based condition is satisfied and request user input to further identify certain image features that were identified by the system.Type: ApplicationFiled: March 21, 2022Publication date: July 7, 2022Inventors: Manish Upendran, William Castillo, Derek Halliday
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Patent number: 11380078Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining images of the building structure, including non-camera anchors. The method also includes identifying reference poses for images based on the non-camera anchors. The method also includes obtaining world map data including real-world poses for the images. The method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on correlating the reference poses with the selected candidate poses. Some implementations use structure from motion techniques or LiDAR, in addition to augmented reality frameworks, for scaling the 3-D representations of the building structure. In some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-D representation.Type: GrantFiled: December 10, 2020Date of Patent: July 5, 2022Assignee: HOVER, INC.Inventors: Manish Upendran, William Castillo, Jena Dzitsiuk, Yunwen Zhou, Matthew Thomas
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Patent number: 11310414Abstract: An image capture system provides automated prompts for aiding a user in capturing images for use in 3D model creation. While a user is preparing to capture an image, the system provides visual indications that indicate whether a quality-based condition is satisfied. Based on the visual indications, a user can determine whether an image, if captured, would likely be suitable for use in creating a 3D model. Determining if the quality-based condition is satisfied may include monitoring output generated by one or more sensors and comparing the output against a threshold value. Additionally, the system may analyze the visual content or metadata associated with an image to determine if the quality-based condition is satisfied and request user input to further identify certain image features that were identified by the system.Type: GrantFiled: September 2, 2020Date of Patent: April 19, 2022Assignee: Hover Inc.Inventors: Manish Upendran, William Castillo, Derek Halliday
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Publication number: 20210350617Abstract: A computer system maintains structure data indicating geometrical constraints for each structure category of a plurality of structure categories. The computer system generates a virtual 3D representation of a structure based on a set of images depicting the structure. For each image in the set of images, one or more landmarks are identified. Based on the landmarks, a candidate structure category is selected. The virtual 3D representation is generated based on the geometrical constraints of the candidate structure category and the landmarks identified in the set of images.Type: ApplicationFiled: July 19, 2021Publication date: November 11, 2021Inventors: Ajay Mishra, Manish Upendran, A.J. Altman, William Castillo
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Publication number: 20210314484Abstract: Systems and methods are disclosed for directed image capture of a subject of interest, such as a home. Directed image capture can produce higher quality images such as more centrally located within a display and/or viewfinder of an image capture device, higher quality images have greater value for subsequent uses of captured images such as for information extraction or model reconstruction. Graphical guide(s) facilitate content placement for certain positions and quality assessments for the content of interest can be calculated such as for pixel distance of the content of interest to a centroid of the display or viewfinder, or the effect of obscuring objects. Quality assessments can further include instructions for improving the quality of the image capture for the content of interest.Type: ApplicationFiled: June 20, 2021Publication date: October 7, 2021Applicant: Hover Inc.Inventors: William Castillo, Adam J. Altman, Ioannis Pavlidis, Sarthak Sahu, Manish Upendran
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Patent number: 11100704Abstract: A computer system maintains structure data indicating geometrical constraints for each structure category of a plurality of structure categories. The computer system generates a virtual 3D representation of a structure based on a set of images depicting the structure. For each image in the set of images, one or more landmarks are identified. Based on the landmarks, a candidate structure category is selected. The virtual 3D representation is generated based on the geometrical constraints of the candidate structure category and the landmarks identified in the set of images.Type: GrantFiled: December 14, 2018Date of Patent: August 24, 2021Assignee: Hover Inc.Inventors: Ajay Mishra, Manish Upendran, A. J. Altman, William Castillo
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Publication number: 20210243362Abstract: Disclosed are techniques for enhancing two-dimensional (2D) image capture of subjects (e.g., a physical structure, such as a residential building) to maximize the feature correspondences available for three-dimensional (3D) model reconstruction. More specifically, disclosed is a computer-vision network configured to provide viewfinder interfaces and analyses to guide the improved capture of an intended subject for specified purposes. Additionally, the computer-vision network can be configured to generate a metric representing a quality of feature correspondences between images of a complete set of images used for reconstructing a 3D model of a physical structure. The computer-vision network can also be configured to generate feedback at or before image capture time to guide improvements to the quality of feature correspondences between a pair of images.Type: ApplicationFiled: January 29, 2021Publication date: August 5, 2021Applicant: Hover Inc.Inventors: William Castillo, Brandon Scott, Alrik Firl, David Royston Cutts, Jonathan Mark Igner, Dario Rethage, Domenico Curro