Patents by Inventor Riccardo Gherardi
Riccardo Gherardi 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: 11854233Abstract: Described is a method for processing image data to determine if a portion of the image data is affected due to sunlight. In some implementations, image data is sent to an image data store and camera parameters are sent to a radiance detection service. The radiance detection service, upon receiving the camera parameters, retrieves the image data, converts the image data to gray-scale and processes the image data based on the camera parameters to determine a radiance value for the camera. The radiance value may be compared to a baseline radiance value to determine if sunlight is represented in the image data. In some implementations, a baseline model may be developed for the camera and used to cancel out any pixels of the image data that are overexposed under normal or baseline conditions. Likewise, a foreground model may be generated to detect any objects in the image data for which corresponding pixel values should not be considered for determining if sunlight is represented in the image data.Type: GrantFiled: February 8, 2021Date of Patent: December 26, 2023Assignee: Amazon Technologies, Inc.Inventors: Riccardo Gherardi, Saral Jain, Hasan Tuna Icingir, Griffin Alexander Jarmin, Bo Chen
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Patent number: 10917558Abstract: Described is a method for processing image data to determine if a portion of the image data is affected due to sunlight. In some implementations, image data is sent to an image data store and camera parameters are sent to a radiance detection service. The radiance detection service, upon receiving the camera parameters, retrieves the image data, converts the image data to gray-scale and processes the image data based on the camera parameters to determine a radiance value for the camera. The radiance value may be compared to a baseline radiance value to determine if sunlight is represented in the image data. In some implementations, a baseline model may be developed for the camera and used to cancel out any pixels of the image data that are overexposed under normal or baseline conditions. Likewise, a foreground model may be generated to detect any objects in the image data for which corresponding pixel values should not be considered for determining if sunlight is represented in the image data.Type: GrantFiled: November 19, 2019Date of Patent: February 9, 2021Assignee: Amazon Technologies, Inc.Inventors: Riccardo Gherardi, Saral Jain, Hasan Tuna Icingir, Griffin Alexander Jarmin, Bo Chen
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Patent number: 10650246Abstract: Described is a method for processing image data to determine if a portion of the image data is affected due to sunlight. In some implementations, image data is sent to an image data store and camera parameters are sent to a radiance detection service. The radiance detection service, upon receiving the camera parameters, retrieves the image data, converts the image data to gray-scale and processes the image data based on the camera parameters to determine a radiance value for the camera. The radiance value may be compared to a baseline radiance value to determine if sunlight is represented in the image data. In some implementations, a baseline model may be developed for the camera and used to cancel out any pixels of the image data that are overexposed under normal or baseline conditions. Likewise, a foreground model may be generated to detect any objects in the image data for which corresponding pixel values should not be considered for determining if sunlight is represented in the image data.Type: GrantFiled: June 27, 2017Date of Patent: May 12, 2020Assignee: Amazon Technologies, Inc.Inventors: Riccardo Gherardi, Saral Jain, Hasan Tuna Icingir, Griffin Alexander Jarmin, Bo Chen
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Patent number: 10491808Abstract: Described is a method for processing image data to determine if a portion of the image data is affected due to sunlight. In some implementations, image data is sent to an image data store and camera parameters are sent to a radiance detection service. The radiance detection service, upon receiving the camera parameters, retrieves the image data, converts the image data to gray-scale and processes the image data based on the camera parameters to determine a radiance value for the camera. The radiance value may be compared to a baseline radiance value to determine if sunlight is represented in the image data. In some implementations, a baseline model may be developed for the camera and used to cancel out any pixels of the image data that are overexposed under normal or baseline conditions. Likewise, a foreground model may be generated to detect any objects in the image data for which corresponding pixel values should not be considered for determining if sunlight is represented in the image data.Type: GrantFiled: June 27, 2017Date of Patent: November 26, 2019Assignee: Amazon Technologies, Inc.Inventors: Riccardo Gherardi, Saral Jain, Hasan Tuna Icingir, Griffin Alexander Jarmin, Bo Chen
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Patent number: 9767604Abstract: A method of object recognition and/or registration includes receiving a point cloud, arranging the points of the point cloud into a hierarchical search tree, and determining geometric information of the points located within a region, by identifying a highest level tree nodes where all of descendent leaf nodes are contained within the region and selecting the leaf nodes for the points where no sub-tree is entirely contained within the region, such that the points falling within the region are represented by the smallest number of nodes and performing statistical operations on the nodes representing the points in the region. The geometric information includes descriptors of features in the point cloud. The method further includes comparing the feature descriptors with a database of feature descriptors for a plurality of objects.Type: GrantFiled: July 23, 2015Date of Patent: September 19, 2017Assignee: Kabushiki Kaisha ToshibaInventors: Minh-Tri Pham, Riccardo Gherardi, Frank Perbet, Bjorn Stenger, Sam Johnson, Oliver Woodford, Pablo Alcantarilla, Roberto Cipolla
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Patent number: 9646408Abstract: According to one embodiment, a method of generating a three dimensional representation of a subject from a depth image, comprises comparing a depth image of the subject with a plurality of representative images, wherein each representative image is associated with a respective parametric model of a subject; identifying a representative image of the plurality of representative images as a closest representative image to the depth image of the subject; selecting the parametric model associated with the closest representative image to the depth image; and generating a three dimensional representation of the subject by fitting the selected parametric model to the depth image of the subject.Type: GrantFiled: May 6, 2014Date of Patent: May 9, 2017Assignee: Kabushiki Kaisha ToshibaInventors: Sam Johnson, Frank Perbet, Bjorn Stenger, Minh-Tri Pham, Oliver Woodford, Riccardo Gherardi, Roberto Cipolla
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Publication number: 20160148393Abstract: A method of calculating a similarity measure between first and second image patches, which include respective first and second intensity values associated with respective elements of the first and second image patches, and which have a corresponding size and shape such that each element of the first image patch corresponds to an element on the second image patch. The method: determines a set of sub-regions on the second image patch corresponding to elements of the first image patch and having first intensity values within a range defined for that sub-region; calculates variance, for each sub-region of the set over all of the elements of that sub-region, of a function of the second intensity value associated with that element and the first intensity value associated with the corresponding element of the first image patch; and calculates similarity measure as the sum over all sub-regions of the calculated variances.Type: ApplicationFiled: November 5, 2013Publication date: May 26, 2016Applicant: KABUSHIKI KAISHA TOSHIBAInventors: Atsuto MAKI, Riccardo GHERARDI, Oliver WOODFORD, Frank PERBET, Minh-Tri PHAM, Bjorn STENGER, Sam JOHNSON, Roberto CIPOLLA
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Publication number: 20160027208Abstract: A method for analysing a point cloud, the method comprising: receiving a point cloud, comprising a plurality of points, each point representing a spatial point in an image; arranging the points into a hierarchical search tree, with a lowest level comprising a plurality of leaf nodes, where each leaf node corresponds to a point of the point cloud, the search tree comprising a plurality of hierarchical levels with tree nodes in each of the hierarchical levels, the nodes being vertically connected to each other though the hierarchy by branches, wherein at least one moment of the property of the descendant nodes is stored in each tree node; and determining geometric information of the points located within a region, by identifying the highest level tree nodes where all of the descendent leaf nodes are contained within the region and selecting the leaf nodes for the points where no sub-tree is entirely contained within the region, such that such that the points falling within the region are represented by the sType: ApplicationFiled: July 23, 2015Publication date: January 28, 2016Applicant: Kabushiki Kaisha ToshibaInventors: Minh-Tri PHAM, Riccardo GHERARDI, Frank PERBET, Bjorn STENGER, Sam JOHNSON, Oliver WOODFORD, Pablo ALCANTARILLA, Roberto CIPOLLA
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Publication number: 20150254527Abstract: A method for comparing a plurality of objects, the method comprising representing at least one feature of each object as a 3D ball representation, the radius of each ball representing the scale of the feature in the with respect to the frame of the object, the position of each ball representing the translation the feature in the frame of the object, the method further comprising comparing the objects by comparing the scale and translation as represented by the 3D balls to determine similarity between objects and their poses.Type: ApplicationFiled: August 26, 2014Publication date: September 10, 2015Applicant: Kabushiki Kaisha ToshibaInventors: Minh-Tri Pham, Frank Perbet, Bjorn Dietmar, Rafael Stenger, Riccardo Gherardi, Oliver Woodford, Sam Johnson, Roberto Cipolla, Stephan Liwicki
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Publication number: 20140375635Abstract: According to one embodiment, a method of generating a three dimensional representation of a subject from a depth image, comprises comparing a depth image of the subject with a plurality of representative images, wherein each representative image is associated with a respective parametric model of a subject; identifying a representative image of the plurality of representative images as a closest representative image to the depth image of the subject; selecting the parametric model associated with the closest representative image to the depth image; and generating a three dimensional representation of the subject by fitting the selected parametric model to the depth image of the subject.Type: ApplicationFiled: May 6, 2014Publication date: December 25, 2014Applicant: KABUSHIKI KAISHA TOSHIBAInventors: SAM JOHNSON, FRANK PERBET, BJORN STENGER, MINH-TRI PHAM, OLIVER WOODFORD, RICCARDO GHERARDI, ROBERTO CIPOLLA
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Publication number: 20140125773Abstract: A method of calculating a similarity measure between first and second image patches, which include respective first and second intensity values associated with respective elements of the first and second image patches, and which have a corresponding size and shape such that each element of the first image patch corresponds to an element on the second image patch. The method: determines a set of sub-regions on the second image patch corresponding to elements of the first image patch and having first intensity values within a range defined for that sub-region; calculates variance, for each sub-region of the set over all of the elements of that sub-region, of a function of the second intensity value associated with that element and the first intensity value associated with the corresponding element of the first image patch; and calculates similarity measure as the sum over all sub-regions of the calculated variances.Type: ApplicationFiled: November 5, 2013Publication date: May 8, 2014Applicant: KABUSHIKI KAISHA TOSHIBAInventors: Atsuto MAKI, Riccardo Gherardi, Oliver Woodford, Frank Perbet, Minh-Tri Pham, Bjorn Stenger, Sam Johnson, Roberto Cipolla