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Ioana

Ioana Bacivarov, Galway IE

Patent application numberDescriptionPublished
20080205712Separating Directional Lighting Variability in Statistical Face Modelling Based on Texture Space Decomposition - 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.08-28-2008
20090003661Separating a Directional Lighting Variability In Statistical Face Modelling Based On Texture Space Decomposition - 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.01-01-2009
20110007174Identifying Facial Expressions in Acquired Digital Images - 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.01-13-2011

Patent applications by Ioana Bacivarov, Galway IE

Ioana Drutu, La Jolla, CA US

Patent application numberDescriptionPublished
20100311720Spiroindoline Modulators of Muscarinic Receptors - The present invention relates to spiroindoline modulators of muscarinic receptors. The present invention also provides compositions comprising such spiroindoline modulators, and methods therewith for treating muscarinic receptor mediated diseases.12-09-2010

Patent applications by Ioana Drutu, La Jolla, CA US

Ioana Drutu, Watertown, MA US

Ioana Firastrau, Jud. Brasov RO

Patent application numberDescriptionPublished
20100039181SPIN-TRANSFER TORQUE OSCILLATOR - The invention relates to a method of operating a spin-transfer torque structure to generate voltage oscillations, said structure comprising a first layer of magnetic material having a fixed magnetization vector, a spacer of non magnetic material and a second layer of magnetic material having a free magnetization vector. The method includes the application of a current (j02-18-2010