Emotion Recognition from Images Under Varying Illumination Conditions

Author:

Suja P.,Thomas Sherin Mariam,Tripathi Shikha,Madan V. K.

Publisher

Springer International Publishing

Reference13 articles.

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4. Wang S, Liu Z, Lv S, Lv Y, Wu G, Peng P, Chen F, Wang X (2010) A natural visible and infrared facial expression database for expression recognition and emotion inference. IEEE Trans Multimedia 12(7)

5. Suja P, Tripathi S, Keerthana DN (2013) Emotion recognition using DWT, KL transform and neural network. In: Second international conference on advances in signal processing and communications (SPC2013), Lucknow, India, June 2013. Proceedings of mobile communications II, Springer, pp 360–367. ACEEE conference proceedings series 01, Elsevier pp 834–839

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2. Emotion recognition from facial images with simultaneous occlusion, pose and illumination variations using meta-learning;Journal of King Saud University - Computer and Information Sciences;2021-06

3. Facial Expression Recognition Using Directional Gradient Local Ternary Patterns;Lecture Notes in Computer Science;2019

4. Emotion Recognition from Occluded Facial Expressions Using Weber Local Descriptor;2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP);2018-06

5. A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory;Neural Processing Letters;2017-04-05

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