Virtual Eye Glasses Try-On System
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Abstract
This paper presents a virtual eyeglasses try-on system. With this system, users can virtually try on glasses to see how a particular glass style looks and fits their face via a live video approach, before they purchase it. Also, the system recommends flattering style of eye glasses based on the user’s face shape. This really saves a lot of time for the selection of eyeglasses in the store When the user starts the system, initially face detection will be done by using the Viola and Jones algorithm. Further, eye detection is done again by using Viola and Jones algorithm. After this, face shape estimation is performed where the system recommends the user, the best pair of glasses which suites the user’s face based on his/her face shape. The user can then try on the glasses virtually by using live video approach. Keywords: Live video approach, Viola and Jones algorithm.
References
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- G Jamkhande, M.J Pandhre, “Human face detection by using depth information”, 2014.
- Sharanya R Benedict, J Satheesh Kumar, “Geometric shaped facial feature extraction using face recognition”, 2016.
- V thate, A.S Naroto, “Human face detection and recognition in videos”, 2016.
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