Patents by Inventor Alex A. Simons

Alex A. Simons 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).

  • Patent number: 10062144
    Abstract: A spherical harmonic is defined which is an operationally optimal small finite subset of the infinite number of spherical harmonics allowed to exist mathematically. The composition of the subset differs depending on its position on virtual hemisphere. The subsets are further divided into small spherical tesserae whose dimensions vary depending on the distance from the hemispherical center. The images of the outside visual scenes are projected on the flat surface of the webcam and from there are read and recalculated programmatically as if the images have been projected on the hemisphere, rotational invariants are then computed in the smallest tesserae using numerical integration, and then invariants from neighboring tesserae are added to compute the rotational invariant of their union. Every computed invariant is checked with the library and stored there if there is no match. The rotational invariants are solely used for visual recognition and classification and operational decision making.
    Type: Grant
    Filed: July 6, 2017
    Date of Patent: August 28, 2018
    Inventor: Alex Simon Blaivas
  • Publication number: 20180060999
    Abstract: A spherical harmonic is defined which is an operationally optimal small finite subset of the infinite number of spherical harmonics allowed to exist mathematically. The composition of the subset differs depending on its position on virtual hemisphere. The subsets are further divided into small spherical tesserae whose dimensions vary depending on the distance from the hemispherical center. The images of the outside visual scenes are projected on the flat surface of the webcam and from there are read and recalculated programmatically as if the images have been projected on the hemisphere, rotational invariants are then computed in the smallest tesserae using numerical integration, and then invariants from neighboring tesserae are added to compute the rotational invariant of their union. Every computed invariant is checked with the library and stored there if there is no match. The rotational invariants are solely used for visual recognition and classification and operational decision making.
    Type: Application
    Filed: July 6, 2017
    Publication date: March 1, 2018
    Inventor: Alex Simon Blaivas
  • Patent number: 9858638
    Abstract: A spherical harmonic is defined which is an operationally optimal small finite subset of the infinite number of spherical harmonics allowed to exist mathematically. The composition of the subset differs depending on its position on virtual hemisphere. The subsets are further divided into small spherical tesserae whose dimensions vary depending on the distance from the hemispherical center. The images of the outside visual scenes are projected on the flat surface of the webcam and from there are read and recalculated programmatically as if the images have been projected on the hemisphere. rotational invariants are then computed in the smallest tesserae using numerical integration, and then invariants from neighboring tesserae are added to compute the rotational invariant of their union. Every computed invariant is checked with the library and stored there if there is no match. The rotational invariants are solely used for visual recognition and classification and operational decision making.
    Type: Grant
    Filed: September 20, 2017
    Date of Patent: January 2, 2018
    Inventor: Alex Simon Blaivas
  • Patent number: 9727945
    Abstract: A spherical harmonic is defined which is an operationally optimal small finite subset of the infinite number of spherical harmonics allowed to exist mathematically. The composition of the subset differs depending on its position on virtual hemisphere. The subsets are further divided into small spherical tesserae whose dimensions vary depending on the distance from the hemispherical center. The images of the outside visual scenes are projected on the flat surface of the webcam and from there are read and recalculated programmatically as if the images have been projected on the hemisphere. rotational invariants are then computed in the smallest tesserae using numerical integration, and then invariants from neighboring tesserae are added to compute the rotational invariant of their union. Every computed invariant is checked with the library and stored there if there is no match. The rotational invariants are solely used for visual recognition and classification and operational decision making.
    Type: Grant
    Filed: August 30, 2016
    Date of Patent: August 8, 2017
    Inventor: Alex Simon Blaivas
  • Patent number: 8670621
    Abstract: A new method of image processing and recognition through calculation of expansion of projected images onto a spherical coordinate system with at least two sets of presumed spherical harmonics defined on it with different positions of their North Poles, and subsequent computation of expansion coefficients of the images into the abovementioned orthogonal systems of spherical harmonics, and then calculating the invariants of images to rotational and translational transformations as vector and scalar products of two series of expansions. The invariants of the images will be stored in a magnetic library and subsequently used in image recognition in various industrial and security/military applications.
    Type: Grant
    Filed: November 6, 2012
    Date of Patent: March 11, 2014
    Inventor: Alex Simon Blaivas
  • Patent number: 7873534
    Abstract: Collecting and analyzing usage data from a CRM database provides useful insights into improving future versions of CRM software. Options for the type of data to be collected may be presented and several opportunities may be available to tailor the data to be communicated to the CRM provider.
    Type: Grant
    Filed: February 14, 2006
    Date of Patent: January 18, 2011
    Assignee: Microsoft Corporation
    Inventors: Alex A. Simons, Wan Li Zhu, Chris Shoring, David C. West
  • Publication number: 20070192162
    Abstract: Collecting and analyzing usage data from a CRM database provides useful insights into improving future versions of CRM software. Options for the type of data to be collected may be presented and several opportunities may be available to tailor the data to be communicated to the CRM provider.
    Type: Application
    Filed: February 14, 2006
    Publication date: August 16, 2007
    Applicant: MICROSOFT CORPORATION
    Inventors: Alex Simons, Wan Zhu, Chris Shoring, David West
  • Patent number: 7212990
    Abstract: The present invention is embodied in a system and method for managing and controlling accounts with generated profile information. The system includes a data generator, a database and a search agent. The data generator generates, collects and processes data about potential buyers and generates customer profiles. Data can be collected and processed by any suitable means for generating profiles, such as a data gathering session. In one example, a potential buyer can be provided with an interactive browsing environment and allowed to select information related to products or services. The search agent is used to create the database, which comprises buyers having organized profiles that define specific criteria. A profile of the buyer can be created by inferring criteria desired by the buyer based on the interactive browsing and the selections made by the buyer.
    Type: Grant
    Filed: May 31, 2000
    Date of Patent: May 1, 2007
    Assignee: Microsoft Corp.
    Inventors: Daniel J. Greden, Alexander Castro, Alex A. Simons, Scott A. Smith, Susan P. Scheer, Se-Wai Lee