Samsung Electronics Co., Ltd.

Moogi Pratibha

Anand Balasubramanian

Velusamy Sudha

Gopalakrishnan Viswanath

Sharma Anshul

A method for determining a facial emotion of a user in the presence of a facial artifact includes detecting Action Units (AUs) for a first set of frames with the facial artifact; analyzing the AUs with the facial artifact after the detection; registering the analyzed AUs for a neutral facial expression with the facial artifact in the first set of frames; predicting the AUs in a second set of frames; and determining the facial emotion by comparing the registered neutral facial expression with the predicted AUs in the second set of frames.

Method for on-the-fly learning of facial artifacts for facial emotion recognition

A method and system for generating a feature descriptor for robust facial expression recognition pre-processes a facial image using a Gaussian filter to smooth the facial image. Then, gradient based images at M scales and N orientations are generated from the pre-processed facial image. Further, a portion of an image corresponding to each action unit is selected from each of the gradient based images. Thereafter, appearance of at least one facial event in the selected portion of the image is captured. Also, a geometry of the at least one facial event in the selected portion of image is determined to obtain a feature descriptor for each action unit for robust facial expression recognition.

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Bengaluru, India

Moogi Pratibha