Facial Expression Recognition in Video with Multiple Feature Fusion
T. Sai Teja1, M.K. Mariam Bee2
1T.Sai Teja, Department of Electronics & Communication, Saveetha School of Engineering SIMATS, Chennai (Tamil Nadu), India.
2M.K. Mariam Bee, Department of Electronics & Communication, Saveetha School of Engineering SIMATS, Chennai (Tamil Nadu), India.
Manuscript received on 16 August 2019 | Revised Manuscript received on 28 August 2019 | Manuscript Published on 06 September 2019 | PP: 362-365 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10760886S19/19©BEIESP | DOI: 10.35940/ijeat.F1076.0886S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Video based outward appearance affirmation has been a long standing issue and pulled in creating thought starting late. The way to a productive outward appearance affirmation system is to manhandle the conceivable outcomes of shifting media modalities and structure incredible highlights to effectively depict the facial appearance and course of action changes achieved by facial developments. We propose a powerful system to address this issue in this paper. In our examination, both visual modalities (face pictures) and sound modalities (talk) are used. Another part descriptor known as bar chart of familiarized Gradients from 3 Orthogonal Planes (HOG-TOP) is projected to free dynamic surfaces from video courses of action to depict facial look changes. In addition, another effective geometric element got from the curve change of facial places of interest is proposed to get facial plan changes.
Keywords: Media Modalities, Visual Modalities, Sound Modalities, HOG-TOP.
Scope of the Article: Pattern Recognition