Patents by Inventor Ioannis Kakadiaris

Ioannis Kakadiaris 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).

  • Publication number: 20210287694
    Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.
    Type: Application
    Filed: March 29, 2021
    Publication date: September 16, 2021
    Inventors: Ioannis Kakadiaris, Richard Willson
  • Patent number: 10964336
    Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: March 30, 2021
    Inventors: Ioannis Kakadiaris, Richard Willson
  • Publication number: 20190237094
    Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.
    Type: Application
    Filed: April 10, 2019
    Publication date: August 1, 2019
    Inventors: Ioannis KAKADIARIS, Richard WILLSON
  • Patent number: 10283141
    Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: May 7, 2019
    Inventors: Ioannis Kakadiaris, Richard Willson
  • Patent number: 10235344
    Abstract: A rank-based score normalization framework that partitions matching scores into subsets and normalize each subset independently. Methods include implementing two versions of the framework: (i) using gallery-based information (i.e., gallery versus galleryscores), and (ii) updating available information in an online fashion. The methods improve the detection and identification rate from 20:90% up to 35:77% for Z-score and from 25:47% up to 30:29% for W-score.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: March 19, 2019
    Assignee: THE UNIVERSITY OF HOUSTON SYSTEM
    Inventors: Panagiotis Moutafis, Ioannis A. Kakadiaris
  • Patent number: 9965592
    Abstract: A new cardiac risk factors are disclosed along with method for deriving the components of the factors, for developing the factors and for using the factors. Methods for computing pericardial fat and abdominal fat are also disclosed as well as methods for motion compensation.
    Type: Grant
    Filed: July 28, 2014
    Date of Patent: May 8, 2018
    Assignee: THE UNIVERSITY of HOUSTON SYSTEM
    Inventors: Ioannis A. Kakadiaris, Morteza Naghavi
  • Publication number: 20180114538
    Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.
    Type: Application
    Filed: December 22, 2017
    Publication date: April 26, 2018
    Inventors: Ioannis KAKADIARIS, Richard WILLSON
  • Patent number: 9899035
    Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.
    Type: Grant
    Filed: November 4, 2016
    Date of Patent: February 20, 2018
    Inventors: Ioannis Kakadiaris, Richard Willson
  • Publication number: 20170337343
    Abstract: A new cardiac risk factors are disclosed along with method for deriving the components of the factors, for developing the factors and for using the factors. Methods for computing pericardial fat and abdominal fat are also disclosed as well as methods for motion compensation.
    Type: Application
    Filed: July 28, 2014
    Publication date: November 23, 2017
    Applicant: The University of Houston System
    Inventors: Ioannis A. Kakadiaris, Morteza Naghavi
  • Publication number: 20170125034
    Abstract: A system for intelligent acoustic monitoring. The system includes a microphone to capture environmental acoustic data and a processor coupled to the microphone. The processor is configured to receive and perform acoustic analysis on the captured acoustic data to generate an acoustic signature, based on a result of the acoustic analysis, identify an event indicated by the acoustic signature, and perform a remedial action based on the identified event.
    Type: Application
    Filed: November 4, 2016
    Publication date: May 4, 2017
    Inventors: Ioannis KAKADIARIS, Richard WILLSON
  • Patent number: 8090160
    Abstract: A novel method and system for 3d-aided-2D face recognition under large pose and illumination variations is disclosed. The method and system includes enrolling a face of a subject into a gallery database using raw 3D data. The method also includes verifying and/or identifying a target face form data produced by a 2D imagining or scanning device. A statistically derived annotated face model is fitted using a subdivision-based deformable model framework to the raw 3D data. The annotated face model is capable of being smoothly deformed into any face so it acts as a universal facial template. During authentication or identification, only a single 2D image is required. The subject specific fitted annotated face model from the gallery is used to lift a texture of a face from a 2D probe image, and a bidirectional relighting algorithm is employed to change the illumination of the gallery texture to match that of the probe.
    Type: Grant
    Filed: October 13, 2008
    Date of Patent: January 3, 2012
    Assignee: The University of Houston System
    Inventors: Ioannis A. Kakadiaris, George Toderici, Theoharis Theoharis, Georgios Passalis
  • Publication number: 20100278405
    Abstract: A new cardiac risk factors are disclosed along with method for deriving the components of the factors, for developing the factors and for using the factors. Methods for computing pericardial fat and abdominal fat are also disclosed as well as methods for motion compensation.
    Type: Application
    Filed: November 13, 2006
    Publication date: November 4, 2010
    Inventors: Ioannis A. Kakadiaris, Morteza Naghavi
  • Patent number: 7689056
    Abstract: A non-separable multiresolution structure based on frames by radial scaling functions is disclosed, which are minimally supported in the frequency. Resulting frame multiwavelets are also disclosed which can be isotropic. The construction can be carried out in any number of dimensions and for a variety of dilation matrices.
    Type: Grant
    Filed: March 12, 2004
    Date of Patent: March 30, 2010
    Assignee: The University of Houston System
    Inventors: Emmanouil I. Papadakis, Donald J. Kouri, David K. Hoffman, Ioannis A Kakadiaris, Grigoriy Gogoshin
  • Publication number: 20090310828
    Abstract: A novel method and system for 3d-aided-2D face recognition under large pose and illumination variations is disclosed. The method and system includes enrolling a face of a subject into a gallery database using raw 3D data. The method also includes verifying and/or identifying a target face form data produced by a 2D imagining or scanning device. A statistically derived annotated face model is fitted using a subdivision-based deformable model framework to the raw 3D data. The annotated face model is capable of being smoothly deformed into any face so it acts as a universal facial template. During authentication or identification, only a single 2D image is required. The subject specific fitted annotated face model from the gallery is used to lift a texture of a face from a 2D probe image, and a bidirectional relighting algorithm is employed to change the illumination of the gallery texture to match that of the probe.
    Type: Application
    Filed: October 13, 2008
    Publication date: December 17, 2009
    Applicant: The University of Houston System
    Inventors: Ioannis A. Kakadiaris, George Toderici, Theoharis Theoharis, Georgios Passalis
  • Patent number: 7512255
    Abstract: A method for identifying an individual includes the steps of collecting data from an individual's face using visible and infrared cameras, processing the acquired data, fitting a geometric model template of the face to the data according to a mathematical method, processing the fitted model to extract relevant first metadata, storing the first metadata in a machine readable format, and comparing second metadata to the first metadata, to determine their degree of similarity in order to identify the individual.
    Type: Grant
    Filed: August 23, 2004
    Date of Patent: March 31, 2009
    Assignee: Board of Regents, University of Houston
    Inventors: Ioannis Kakadiaris, Theoharis Theoharis
  • Publication number: 20080281205
    Abstract: A method for detection, localization, and quantification anatomical, morphological or structural features of site sites by analyzing data acquired before injection of a contrast agent and after injection the contrast agent. New catheters for use with the method is also disclosed.
    Type: Application
    Filed: January 14, 2005
    Publication date: November 13, 2008
    Inventors: Morteza Naghavi, Ioannis A. Kakadiaris
  • Patent number: 7272265
    Abstract: A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set is described where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and/or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.
    Type: Grant
    Filed: June 4, 2003
    Date of Patent: September 18, 2007
    Assignee: The University of Houston System
    Inventors: Donald K. Kouri, David K. Hoffman, Mark Arnold, Ioannis A. Kakadiaris, Zhuoer Shi, DeSheng Zhang, Gemunu H. Gunaratne, Haixiang Wang, Guowei W. Wei, Zheng Bao Xi'an
  • Publication number: 20050084140
    Abstract: A method for identifying an individual includes the steps of collecting data from an individual's face using visible and infrared cameras, processing the acquired data, fitting a geometric model template of the face to the data according to a mathematical method, processing the fitted model to extract relevant first metadata, storing the first metadata in a machine readable format, and comparing second metadata to the first metadata, to determine their degree of similarity in order to identify the individual.
    Type: Application
    Filed: August 23, 2004
    Publication date: April 21, 2005
    Applicant: University of Houston
    Inventors: Ioannis Kakadiaris, Theoharis Theoharis
  • Publication number: 20050027770
    Abstract: A non-separable multiresolution structure based on frames by radial scaling functions is disclosed, which are minimally supported in the frequency. Resulting frame multiwavelets are also disclosed which can be isotropic. The construction can be carried out in any number of dimensions and for a variety of dilation matrices.
    Type: Application
    Filed: March 12, 2004
    Publication date: February 3, 2005
    Inventors: Emmanouil Papadakis, Donald Kouri, David Hoffman, Ioannis Kakadiaris, Grigoriy Gogoshin
  • Patent number: 6847737
    Abstract: A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and/or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.
    Type: Grant
    Filed: March 12, 1999
    Date of Patent: January 25, 2005
    Assignees: University of Houston System, Iowa State University Research Foundation, Inc.
    Inventors: Donald J. Kouri, David K. Hoffman, Ioannis Kakadiaris, Zhuoer Shi, DeSheng Zhang, Gemunu H. Gunaratne, Haixiang Wang, G. W. Wei, Zheng Bao