Abstract / Excerpt:

The proponents are to develop a facial expression recognizer music player desktop application using computer vision. This projects intends to evolve music players to a whole new level through Eigenface Object Recognizer and EMGUCV. The proponents chose the desktop units as the device to be used in our project because it is capable of processing large amount of data such as images unlike tablets and smart phones which have limitations. The proponents’ system involves training of images in a specific facial expression. The Eigenface Object Recognizer is used to determine class ­specific masks which are then applied to the image data and used to train it. The application will generate music based on the classified facial expression. The music that is generated is based on the survey that they conducted have ages ranging 16 years old to 40 years old.

Info

Source Institution	Ateneo de Davao University
Unit	Computer Studies
Authors	Armand Benedict F. Salcedo, Jessie D. Matutina Jr.
Page Count	24
Place of Publication	Davao City
Original Publication Date	March 1, 2015
Tags	Eigenface Object Recognizer, EmguCv, Gabor Filters, Haarcascades, Image Processing, Image analysis, PCA (Principal Component Analysis)

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