Intel Corporation

Edmond Chalom

Or Shimshi

Jarno Nikkanen

Gilad Michael

Noam Levy

German Voronov

Joni-Matti Määttä

Dmitry Rudoy

Hila Barel

Harish Essaky Sankaran

Techniques related to eye contact correction to provide a virtual user gaze aligned with a camera while the user views a display are discussed. Such techniques may include determining and reducing histogram of oriented gradient features for an eye region of a source image to provide a feature set, applying a pretrained classifier to the feature set to determine a motion vector field for the eye region, and warping and inserting the eye region into the source image to generate an eye contact corrected image.

Eye contact correction in real time using machine learning

Techniques related to eye contact correction to provide a virtual user gaze aligned with a camera while the user views a display are discussed. Such techniques may include encoding an eye region of a source image using a pretrained neural network to generate compressed features, applying a pretrained classifier to the features to determine a motion vector field for the eye region, and warping and inserting the eye region into the source image to generate an eye contact corrected image.

Eye contact correction in real time using neural network based machine learning

Techniques related to generating dictionaries for example based image processing algorithms are discussed. Such techniques may include iteratively performing example based image processing for candidate look up entries of candidate pairs from a training set database using a current dictionary to determine a test result for each of the look up entries of the candidate pairs and selecting one or more of the candidate pairs for entry in a resultant dictionary based on an error between the test result and a predetermined result entry for the candidate pairs.

Dictionary generation for example based image processing

Methods, apparatuses and systems may provide for operating a machine learning device by obtaining training image data, conducting an offline prediction analysis of the training image data with respect to one or more real-time parameters of an image capture device, and generating one or more parameter detection models based on the offline prediction analysis. Additionally, methods, apparatuses and systems may provide for operating the image capture device by obtaining a candidate image associated with the image capture device, determining that the candidate image corresponds to a particular type of scene represented in a parameter prediction model, and adjusting one or more real-time parameters of the image capture device based at least in part on one or more parameter values associated with the particular type of scene.

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Petach Tikvah, Israel

Edmond Chalom