Patents by Inventor Neil Lawrence Mayle

Neil Lawrence Mayle 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).

  • Systems, methods, and devices for image matching and object recognition in images using textures
    Patent number: 11210797
    Abstract: A computer-implemented method for determining whether a first image contains at least a portion of a second image includes: determining a first set of feature points associated with the first image; removing from said first set of feature points at least some feature points in the first set that correspond to one or more textures in the first image; and then attempting to match feature points in said first set of feature points with feature points in a second set of feature points associated with said second image to determine whether said first image contains at least a portion of said second image.
    Type: Grant
    Filed: October 22, 2019
    Date of Patent: December 28, 2021
    Assignee: Slyce Acquisition Inc.
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • Systems, Methods, and Devices for Image Matching and Object Recognition in Images Using Textures
    Publication number: 20200160543
    Abstract: A computer-implemented method for determining whether a first image contains at least a portion of a second image includes: determining a first set of feature points associated with the first image; removing from said first set of feature points at least some feature points in the first set that correspond to one or more textures in the first image; and then attempting to match feature points in said first set of feature points with feature points in a second set of feature points associated with said second image to determine whether said first image contains at least a portion of said second image.
    Type: Application
    Filed: October 22, 2019
    Publication date: May 21, 2020
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • Systems, methods, and devices for image matching and object recognition in images using textures
    Patent number: 10510152
    Abstract: A computer-implemented method for determining whether a first image contains at least a portion of a second image includes: determining a first set of feature points associated with the first image; removing from said first set of feature points at least some feature points in the first set that correspond to one or more textures in the first image; and then attempting to match feature points in said first set of feature points with feature points in a second set of feature points associated with said second image to determine whether said first image contains at least a portion of said second image.
    Type: Grant
    Filed: November 17, 2017
    Date of Patent: December 17, 2019
    Assignee: Slyce Acquisition Inc.
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • SYSTEMS, METHODS, AND DEVICES FOR IMAGE MATCHING AND OBJECT RECOGNITION IN IMAGES
    Publication number: 20190244054
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points from the template image are then matched to the feature points in the test image. An additional matching technique boosts the number of points that match each other. The additional points improve the match quality and help discriminate true from false positive matches.
    Type: Application
    Filed: January 7, 2019
    Publication date: August 8, 2019
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • Systems, methods, and devices for image matching and object recognition in images
    Patent number: 10210427
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points from the template image are then matched to the feature points in the test image. An additional matching technique boosts the number of points that match each other. The additional points improve the match quality and help discriminate true from false positive matches.
    Type: Grant
    Filed: June 19, 2015
    Date of Patent: February 19, 2019
    Assignee: Slyce Acquisition Inc.
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • Systems, Methods, And Devices For Image Matching And Object Recognition In Images Using Textures
    Publication number: 20180315203
    Abstract: A computer-implemented method for determining whether a first image contains at least a portion of a second image includes: determining a first set of feature points associated with the first image; removing from said first set of feature points at least some feature points in the first set that correspond to one or more textures in the first image; and then attempting to match feature points in said first set of feature points with feature points in a second set of feature points associated with said second image to determine whether said first image contains at least a portion of said second image.
    Type: Application
    Filed: November 17, 2017
    Publication date: November 1, 2018
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • Systems, methods, and devices for image matching and object recognition in images using feature point optimization
    Patent number: 9846948
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image.
    Type: Grant
    Filed: June 20, 2015
    Date of Patent: December 19, 2017
    Assignee: DITTO LABS, INC.
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • Systems, methods, and devices for image matching and object recognition in images using template image classifiers
    Patent number: 9576221
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Classifiers are trained for multiple template images and the classifiers are used to evaluate a match between a template image and a test image.
    Type: Grant
    Filed: June 19, 2015
    Date of Patent: February 21, 2017
    Assignee: DITTO LABS, INC.
    Inventors: Neil Lawrence Mayle, Philip B. Romanik
  • Systems, methods, and devices for image matching and object recognition in images using image regions
    Patent number: 9508151
    Abstract: A computer-implemented method for determining whether a first image contains at least a portion of a second image, includes: dividing set first image into multiple image regions; for a particular image region of the multiple image regions, determining a particular set of feature points associated with the particular image region; and attempting to match feature points in the particular set of feature points with second feature points associated with the second image to determine whether the particular image region of the first image contains at least a portion of the second image, wherein the first image is considered to contain at least a portion of a second image when the particular image region of the first image contains at least a portion of the second image.
    Type: Grant
    Filed: June 20, 2015
    Date of Patent: November 29, 2016
    Assignee: DITTO LABS, INC.
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • Systems, methods, and devices for image matching and object recognition in images using minimal feature points
    Patent number: 9330329
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image. A covering set for a template image is used to optimize processing of test images.
    Type: Grant
    Filed: June 20, 2015
    Date of Patent: May 3, 2016
    Assignee: DITTO LABS, INC.
    Inventors: Neil Lawrence Mayle, Philip B. Romanik
  • SYSTEMS, METHODS, AND DEVICES FOR IMAGE MATCHING AND OBJECT RECOGNITION IN IMAGES USING FEATURE POINT OPTIMIZATION
    Publication number: 20160104042
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image.
    Type: Application
    Filed: June 20, 2015
    Publication date: April 14, 2016
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • Systems, Methods, And Devices For Image Matching And Object Recognition In Images Using Textures
    Publication number: 20160012594
    Abstract: A computer-implemented method for determining whether a first image contains at least a portion of a second image includes: determining a first set of feature points associated with the first image; removing from said first set of feature points at least some feature points in the first set that correspond to one or more textures in the first image; and then attempting to match feature points in said first set of feature points with feature points in a second set of feature points associated with said second image to determine whether said first image contains at least a portion of said second image.
    Type: Application
    Filed: June 20, 2015
    Publication date: January 14, 2016
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • SYSTEMS, METHODS, AND DEVICES FOR IMAGE MATCHING AND OBJECT RECOGNITION IN IMAGES USING TEMPLATE IMAGE CLASSIFIERS
    Publication number: 20160012317
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Classifiers are trained for multiple template images and the classifiers are used to evaluate a match between a template image and a test image.
    Type: Application
    Filed: June 19, 2015
    Publication date: January 14, 2016
    Inventors: Neil Lawrence Mayle, Philip B. Romanik
  • Systems, Methods, and Devices for Image Matching and Object Recognition in Images Using Image Regions
    Publication number: 20160012595
    Abstract: A computer-implemented method for determining whether a first image contains at least a portion of a second image, includes: dividing set first image into multiple image regions; for a particular image region of the multiple image regions, determining a particular set of feature points associated with the particular image region; and attempting to match feature points in the particular set of feature points with second feature points associated with the second image to determine whether the particular image region of the first image contains at least a portion of the second image, wherein the first image is considered to contain at least a portion of a second image when the particular image region of the first image contains at least a portion of the second image.
    Type: Application
    Filed: June 20, 2015
    Publication date: January 14, 2016
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • SYSTEMS, METHODS, AND DEVICES FOR IMAGE MATCHING AND OBJECT RECOGNITION IN IMAGES
    Publication number: 20160012311
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points from the template image are then matched to the feature points in the test image. An additional matching technique boosts the number of points that match each other. The additional points improve the match quality and help discriminate true from false positive matches.
    Type: Application
    Filed: June 19, 2015
    Publication date: January 14, 2016
    Inventors: Philip B. Romanik, Neil Lawrence Mayle
  • SYSTEMS, METHODS, AND DEVICES FOR IMAGE MATCHING AND OBJECT RECOGNITION IN IMAGES USING MINIMAL FEATURE POINTS
    Publication number: 20160012304
    Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image. A covering set for a template image is used to optimize processing of test images.
    Type: Application
    Filed: June 20, 2015
    Publication date: January 14, 2016
    Inventors: Neil Lawrence Mayle, Philip B. Romanik