Face Expression Detection using CNN

Rohini Godbole; Saloni Burad

Face Expression Detection using CNN

Authors: Rohini Godbole, Saloni Burad

Unique Paper ID: 148012
Volume: 5
Issue: 12
PageNo: 16-18

Keywords: Face expression detection Computer Vision Orientation Image Straightening Face Components

Abstract:
Face expression detection is one of the most commonly used application of computer vision. It is rigorously used in medical applications like old age health monitoring, counseling and determining clientâ€™s medical state, determining patientâ€™s mental preparedness for treatment. In case of e-learning, it is used to study the emotions of the students and accordingly the methods of teaching and learning process are modified. But, to detect any face and its components, a proper and straight orientation of face is demanded. The algorithms for detection wonâ€™t work if the face is titled or rotated. This paper introduces an algorithm to detect faces in any orientation, limited to some angles. This algorithm is further followed by face expression detection algorithm. Firstly, face straightening algorithm is used to convert the oriented image in straight image. And then the face expressions are detected.

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ISSN: 2349-6002
Volume: 5
Issue: 12
PageNo: 16-18

Face Expression Detection using CNN

Available:https://ijirt.org/Article?manuscript=148012

Impact Factor
8.01 (Year 2024)

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Journal no 47859

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