Patents by Inventor Mihnea Gangea

Mihnea Gangea 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: 20210067686
    Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.
    Type: Application
    Filed: September 14, 2020
    Publication date: March 4, 2021
    Inventors: Catalina NEGHINA, Mihnea GANGEA, Stefan PETRESCU, Emilian DAVID, Petronel BIGIOI, Eric ZARAKOV, Eran STEINBERG
  • Patent number: 10778885
    Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: September 15, 2020
    Assignee: FotoNation Limited
    Inventors: Catalina Neghina, Mihnea Gangea, Stefan Petrescu, Emilian David, Petronel Bigioi, Eric Zarakov, Eran Steinberg
  • Publication number: 20180295279
    Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.
    Type: Application
    Filed: April 9, 2018
    Publication date: October 11, 2018
    Inventors: Catalina NEGHINA, Mihnea GANGEA, Stefan PETRESCU, Emilian DAVID, Petronel BIGIOI, Erik ZARAKOV, Eran STEINBERG
  • Patent number: 9942470
    Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.
    Type: Grant
    Filed: October 3, 2016
    Date of Patent: April 10, 2018
    Assignee: FotoNation Limited
    Inventors: Catalina Neghina, Mihnea Gangea, Stefan Petrescu, Emilian David, Petronel Bigioi, Erik Zarakov, Eran Steinberg
  • Patent number: 9639775
    Abstract: A template matching module is configured to program a processor to apply multiple differently-tuned object detection classifier sets in parallel to a digital image to determine one or more of an object type, configuration, orientation, pose or illumination condition, and to dynamically switch between object detection templates to match a determined object type, configuration, orientation, pose, blur, exposure and/or directional illumination condition.
    Type: Grant
    Filed: March 30, 2015
    Date of Patent: May 2, 2017
    Assignee: FotoNation Limited
    Inventors: Bogdan Sultana, Stefan Petrescu, Radu Nicolau, Vlad Ionut Ursachi, Petronel Bigioi, Corneliu Zaharia, Peter Corcoran, Szabolcs Fulop, Mihnea Gangea
  • Publication number: 20170070649
    Abstract: A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes at least one partial face region identified within the digital image for the red-eye phenomenon and modifies the image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate.
    Type: Application
    Filed: August 9, 2016
    Publication date: March 9, 2017
    Inventors: Florin NANU, Eran STEINBERG, Stefan PETRESCU, Mihnea GANGEA, Adrian CAPATA, Mihai CIUC, Adrian ZAMFIR, Peter CORCORAN, Alexei POSOSIN, Petronel BIGIOI, Alexandru DRIMBAREAN
  • Publication number: 20170026567
    Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.
    Type: Application
    Filed: October 3, 2016
    Publication date: January 26, 2017
    Inventors: Catalina NEGHINA, Mihnea GANGEA, Stefan PETRESCU, Emilian DAVID, Petronel BIGIOI, Erik ZARAKOV, Eran STEINBERG
  • Patent number: 9462180
    Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.
    Type: Grant
    Filed: June 9, 2014
    Date of Patent: October 4, 2016
    Assignee: FotoNation Limited
    Inventors: Catalina Neghina, Mihnea Gangea, Stefan Petrescu, Emilian David, Petronel Bigioi, Eric Zarakov, Eran Steinberg
  • Patent number: 9412007
    Abstract: A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes at least one partial face region identified within the digital image for the red-eye phenomenon and modifies the image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate.
    Type: Grant
    Filed: August 31, 2009
    Date of Patent: August 9, 2016
    Assignee: FOTONATION LIMITED
    Inventors: Florin Nanu, Eran Steinberg, Peter Corcoran, Alexei Pososin, Petronel Bigioi, Alexandru Drimbarean, Stefan Petrescu, Mihnea Gangea, Adrian Capata, Mihai Ciuc, Adrian Zamfir
  • Publication number: 20160104032
    Abstract: A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level.
    Type: Application
    Filed: December 16, 2015
    Publication date: April 14, 2016
    Applicant: FotoNation Limited
    Inventors: Eran STEINBERG, Petronel BIGIOI, Peter CORCORAN, Mihnea GANGEA, Stefan PETRESCU, Andrei VASILIU, Gabriel COSTACHE, Alexandru DRIMBAREAN
  • Patent number: 9224034
    Abstract: A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level.
    Type: Grant
    Filed: December 22, 2014
    Date of Patent: December 29, 2015
    Assignee: FotoNation Limited
    Inventors: Eran Steinberg, Petronel Bigioi, Peter Corcoran, Mihnea Gangea, Stefan Mirel Petrescu, Andrei Vasiliu, Gabriel Costache, Alexandru Drimbarean
  • Publication number: 20150206030
    Abstract: A template matching module is configured to program a processor to apply multiple differently-tuned object detection classifier sets in parallel to a digital image to determine one or more of an object type, configuration, orientation, pose or illumination condition, and to dynamically switch between object detection templates to match a determined object type, configuration, orientation, pose, blur, exposure and/or directional illumination condition.
    Type: Application
    Filed: March 30, 2015
    Publication date: July 23, 2015
    Inventors: BOGDAN SULTANA, STEFAN PETRESCU, RADU NICOLAU, VLAD IONUT URSACHI, PETRONEL BIGIOI, CORNELIU ZAHARIA, PETER CORCORAN, SZABOLCS FULOP, MIHNEA GANGEA
  • Publication number: 20150169941
    Abstract: A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level.
    Type: Application
    Filed: December 22, 2014
    Publication date: June 18, 2015
    Inventors: ERAN STEINBERG, PETRONEL BIGIOI, PETER CORCORAN, MIHNEA GANGEA, STEFAN MIREL PETRESCU, ANDREI VASILIU, GABRIEL COSTACHE, ALEXANDRU DRIMBAREAN
  • Patent number: 8995715
    Abstract: A template matching module is configured to program a processor to apply multiple differently-tuned object detection classifier sets in parallel to a digital image to determine one or more of an object type, configuration, orientation, pose or illumination condition, and to dynamically switch between object detection templates to match a determined object type, configuration, orientation, pose, blur, exposure and/or directional illumination condition.
    Type: Grant
    Filed: October 26, 2011
    Date of Patent: March 31, 2015
    Assignee: FotoNation Limited
    Inventors: Bogdan Sultana, Stefan Petrescu, Radu Nicolau, Vlad Ionut Ursachi, Petronel Bigioi, Corneliu Zaharia, Peter Corcoran, Szabolcs Fulop, Mihnea Gangea
  • Patent number: 8983148
    Abstract: A method of skin segmentation of a digital image is operable in an acquisition device. An image is acquired. A value indicative of a redness of a pixel of said image is compared with a face skin pixel redness criterion. The pixel is identified as a face skin pixel if said criterion is satisfied.
    Type: Grant
    Filed: September 12, 2011
    Date of Patent: March 17, 2015
    Assignee: Fotonation Limited
    Inventors: Stefan Petrescu, Mihnea Gangea, Petronel Bigioi, Alexei Pososin, Alexandru Drimbarean
  • Patent number: 8977056
    Abstract: Faces in images are quickly detected with minimal memory resource usage. Instead of calculating a Haar-like feature value by subtracting the average pixel intensity value in one rectangular region from the average pixel intensity value in another, adjacent rectangular region, a face-detection system calculates that Haar-like feature value by dividing the average pixel intensity value in one rectangular region by the average pixel intensity value in another adjacent rectangular region. Thus, each Haar-like value is calculated as a ratio of average pixel intensity values rather than as a difference between such average pixel intensity values.
    Type: Grant
    Filed: October 31, 2013
    Date of Patent: March 10, 2015
    Assignee: FotoNation Limited
    Inventors: George Susanu, Dan Filip, Mihnea Gangea
  • Patent number: 8971628
    Abstract: Faces in images are quickly detected with minimal memory resource usage. Instead of calculating a Haar-like feature value by subtracting the average pixel intensity value in one rectangular region from the average pixel intensity value in another, adjacent rectangular region, a face-detection system calculates that Haar-like feature value by dividing the average pixel intensity value in one such rectangular region by the average pixel intensity value in the other such adjacent rectangular region. Thus, each Haar-like value is calculated as a ratio of average pixel intensity values rather than as a difference between such average pixel intensity values.
    Type: Grant
    Filed: July 26, 2010
    Date of Patent: March 3, 2015
    Assignee: FotoNation Limited
    Inventors: George Susanu, Dan Filip, Mihnea Gangea
  • Patent number: 8923564
    Abstract: A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level.
    Type: Grant
    Filed: February 10, 2014
    Date of Patent: December 30, 2014
    Assignee: DigitalOptics Corporation Europe Limited
    Inventors: Eran Steinberg, Petronel Bigioi, Peter Corcoran, Mihnea Gangea, Stefan Mirel Petrescu, Andrei Vasiliu, Gabriel Costache, Alexandru Drimbarean
  • Publication number: 20140347514
    Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.
    Type: Application
    Filed: June 9, 2014
    Publication date: November 27, 2014
    Inventors: Catalina Neghina, Mihnea Gangea, Stefan Petrescu, Emilian David, Petronel Bigioi, Eric Zarakov, Eran Steinberg
  • Patent number: 8872887
    Abstract: An image acquisition device having a wide field of view includes a lens and image sensor configured to capture an original wide field of view (WFoV) image with a field of view of more than 90°. The device has an object detection engine that includes one or more cascades of object classifiers, e.g., face classifiers. A WFoV correction engine may apply rectilinear and/or cylindrical projections to pixels of the WFoV image, and/or non-linear, rectilinear and/or cylindrical lens elements or lens portions serve to prevent and/or correct distortion within the original WFoV image. One or more objects located within the original and/or distortion-corrected WFoV image is/are detectable by the object detection engine upon application of the one or more cascades of object classifiers.
    Type: Grant
    Filed: December 2, 2010
    Date of Patent: October 28, 2014
    Assignee: Fotonation Limited
    Inventors: Petronel Bigioi, Alexandru Drimbarean, Mihnea Gangea, Piotr Stec, Peter Corcoran