Patents by Inventor Ioana Bacivarov
Ioana Bacivarov 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).
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Patent number: 10810409Abstract: A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.Type: GrantFiled: November 13, 2017Date of Patent: October 20, 2020Assignee: FotoNation LimitedInventors: Ioana Bacivarov, Peter Corcoran
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Publication number: 20180129870Abstract: A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.Type: ApplicationFiled: November 13, 2017Publication date: May 10, 2018Inventors: Ioana BACIVAROV, Peter CORCORAN
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Patent number: 9818024Abstract: A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.Type: GrantFiled: April 7, 2015Date of Patent: November 14, 2017Assignee: FotoNation LimitedInventors: Ioana Bacivarov, Peter Corcoran
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Publication number: 20150269424Abstract: A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.Type: ApplicationFiled: April 7, 2015Publication date: September 24, 2015Inventors: Ioana Bacivarov, Peter Corcoran
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Publication number: 20130300891Abstract: A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.Type: ApplicationFiled: July 15, 2013Publication date: November 14, 2013Inventors: Ioana Bacivarov, Peter Corcoran
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Patent number: 8582896Abstract: A technique for determining a characteristic of a face or certain other object within a scene captured in a digital image including acquiring an image and applying a linear texture model that is constructed based on a training data set and that includes a class of objects including a first subset of model components that exhibit a dependency on directional lighting variations and a second subset of model components which are independent of directional lighting variations. A fit of the model to the face or certain other object is obtained including adjusting one or more individual values of one or more of the model components of the linear texture model. Based on the obtained fit of the model to the face or certain other object in the scene, a characteristic of the face or certain other object is determined.Type: GrantFiled: March 7, 2013Date of Patent: November 12, 2013Assignees: DigitalOptics Corporation Europe Limited, National University of IrelandInventors: Mircea Ionita, Ioana Bacivarov, Peter Corcoran
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Patent number: 8565550Abstract: A technique for determining a characteristic of a face or certain other object within a scene captured in a digital image including acquiring an image and applying a linear texture model that is constructed based on a training data set and that includes a class of objects including a first subset of model components that exhibit a dependency on directional lighting variations and a second subset of model components which are independent of directional lighting variations. A fit of the model to the face or certain other object is obtained including adjusting one or more individual values of one or more of the model components of the linear texture model. Based on the obtained fit of the model to the face or certain other object in the scene, a characteristic of the face or certain other object is determined.Type: GrantFiled: March 7, 2013Date of Patent: October 22, 2013Assignees: DigitalOptics Corporation Europe Limited, National University of IrelandInventors: Mircea Ionita, Peter Cocoran, Ioana Bacivarov
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Patent number: 8542913Abstract: A technique for determining a characteristic of a face or certain other object within a scene captured in a digital image including acquiring an image and applying a linear texture model that is constructed based on a training data set and that includes a class of objects including a first subset of model components that exhibit a dependency on directional lighting variations and a second subset of model components which are independent of directional lighting variations. A fit of the model to the face or certain other object is obtained including adjusting one or more individual values of one or more of the model components of the linear texture model. Based on the obtained fit of the model to the face or certain other object in the scene, a characteristic of the face or certain other object is determined.Type: GrantFiled: March 7, 2013Date of Patent: September 24, 2013Assignees: DigitalOptics Corporation Europe Limited, National University of IrelandInventors: Mircea Ionita, Ioana Bacivarov, Peter Corcoran
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Patent number: 8509561Abstract: A technique for determining a characteristic of a face or certain other object within a scene captured in a digital image including acquiring an image and applying a linear texture model that is constructed based on a training data set and that includes a class of objects including a first subset of model components that exhibit a dependency on directional lighting variations and a second subset of model components which are independent of directional lighting variations. A fit of the model to the face or certain other object is obtained including adjusting one or more individual values of one or more of the model components of the linear texture model. Based on the obtained fit of the model to the face or certain other object in the scene, a characteristic of the face or certain other object is determined.Type: GrantFiled: February 27, 2008Date of Patent: August 13, 2013Assignees: DigitalOptics Corporation Europe Limited, National University of IrelandInventors: Mircea Ionita, Peter Corcoran, Ioana Bacivarov
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Patent number: 8488023Abstract: A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.Type: GrantFiled: May 20, 2010Date of Patent: July 16, 2013Assignees: DigitalOptics Corporation Europe Limited, National University of IrelandInventors: Ioana Bacivarov, Peter Corcoran
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Patent number: 8224039Abstract: A technique for determining a characteristic of a face or certain other object within a scene captured in a digital image including acquiring an image and applying a linear texture model that is constructed based on a training data set and that includes a class of objects including a first subset of model components that exhibit a dependency on directional lighting variations and a second subset of model components which are independent of directional lighting variations. A fit of the model to the face or certain other object is obtained including adjusting one or more individual values of one or more of the model components of the linear texture model. Based on the obtained fit of the model to the face or certain other object in the scene, a characteristic of the face or certain other object is determined.Type: GrantFiled: September 3, 2008Date of Patent: July 17, 2012Assignees: DigitalOptics Corporation Europe Limited, National University of IrelandInventors: Mircea Ionita, Peter Corcoran, Ioana Bacivarov
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Publication number: 20110007174Abstract: A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.Type: ApplicationFiled: May 20, 2010Publication date: January 13, 2011Applicants: FOTONATION IRELAND LIMITED, NATIONAL UNIVERSITY OF IRELANDInventors: Ioana Bacivarov, Peter Corcoran
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Publication number: 20090003661Abstract: A technique for determining a characteristic of a face or certain other object within a scene captured in a digital image including acquiring an image and applying a linear texture model that is constructed based on a training data set and that includes a class of objects including a first subset of model components that exhibit a dependency on directional lighting variations and a second subset of model components which are independent of directional lighting variations. A fit of the model to the face or certain other object is obtained including adjusting one or more individual values of one or more of the model components of the linear texture model. Based on the obtained fit of the model to the face or certain other object in the scene, a characteristic of the face or certain other object is determined.Type: ApplicationFiled: September 3, 2008Publication date: January 1, 2009Applicants: FotoNation Vision Limited, National University of IrelandInventors: Mircea Ionita, Peter Corcoran, Ioana Bacivarov
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Publication number: 20080205712Abstract: A technique for determining a characteristic of a face or certain other object within a scene captured in a digital image including acquiring an image and applying a linear texture model that is constructed based on a training data set and that includes a class of objects including a first subset of model components that exhibit a dependency on directional lighting variations and a second subset of model components which are independent of directional lighting variations. A fit of the model to the face or certain other object is obtained including adjusting one or more individual values of one or more of the model components of the linear texture model. Based on the obtained fit of the model to the face or certain other object in the scene, a characteristic of the face or certain other object is determined.Type: ApplicationFiled: February 27, 2008Publication date: August 28, 2008Applicants: FotoNation Vision Limited, National University of Ireland, GalwayInventors: Mircea Ionita, Peter Corcoran, Ioana Bacivarov