Patents by Inventor Gabriel N. Costache

Gabriel N. Costache 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).

  • Face recognition with combined PCA-based datasets
    Patent number: 8897503
    Abstract: A representation framework is determined in a face recognition method for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework.
    Type: Grant
    Filed: September 12, 2011
    Date of Patent: November 25, 2014
    Assignee: DigitalOptics Corporation Europe Limited
    Inventors: Peter Corcoran, Gabriel N. Costache
  • Face Recognition with Combined PCA-Based Datasets
    Publication number: 20120230554
    Abstract: A representation framework is determined in a face recognition method for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework.
    Type: Application
    Filed: September 12, 2011
    Publication date: September 13, 2012
    Applicant: DIGITALOPTICS CORPORATION EUROPE LIMITED
    Inventors: Peter Corcoran, Gabriel N. Costache
  • Face recognition with combined PCA-based datasets
    Patent number: 8050466
    Abstract: A face recognition method for working with two or more collections of facial images is provided. A representation framework is determined for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework. A representation of a current facial image, determined in terms of the modified representation framework, is compared with one or more representations of facial images of the combined collection.
    Type: Grant
    Filed: April 6, 2009
    Date of Patent: November 1, 2011
    Assignees: DigitalOptics Corporation Europe Limited, National University of Ireland
    Inventors: Peter Corcoran, Gabriel N. Costache
  • FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS
    Publication number: 20090238410
    Abstract: A face recognition method for working with two or more collections of facial images is provided. A representation framework is determined for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework. A representation of a current facial image, determined in terms of the modified representation framework, is compared with one or more representations of facial images of the combined collection.
    Type: Application
    Filed: April 6, 2009
    Publication date: September 24, 2009
    Applicants: FotoNation Vision Limited, National University Of Ireland
    Inventors: Peter Corcoran, Gabriel N. Costache
  • Face recognition with combined PCA-based datasets
    Patent number: 7515740
    Abstract: A face recognition method for working with two or more collections of facial images is provided. A representation framework is determined for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework. A representation of a current facial image, determined in terms of the modified representation framework, is compared with one or more representations of facial images of the combined collection.
    Type: Grant
    Filed: August 2, 2007
    Date of Patent: April 7, 2009
    Assignees: FotoNation Vision Limited, National University of Ireland
    Inventors: Peter Corcoran, Gabriel N. Costache
  • Face Recognition with Combined PCA-Based Datasets
    Publication number: 20080031498
    Abstract: A face recognition method for working with two or more collections of facial images is provided. A representation framework is determined for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework. A representation of a current facial image, determined in terms of the modified representation framework, is compared with one or more representations of facial images of the combined collection.
    Type: Application
    Filed: August 2, 2007
    Publication date: February 7, 2008
    Applicant: FOTONATION VISION LIMITED
    Inventors: Peter Corcoran, Gabriel N. Costache