scholarly journals PEMBANGUNAN VIRTUAL MIRROR EYEGLASSES MENGGUNAKAN TEKNOLOGI AUGMENTED REALITY

2012 ◽  
Vol 1 (2) ◽  
Author(s):  
Zaid Arham
Keyword(s):  
Augmented Reality ◽  
Face Detection ◽  
Cascade Classifier ◽  
Haar Feature

Perkembangan teknologi augmented realitymenjadi sangat populer saat ini. Hal ini dikarenakanpenggunaan augmented reality sangat menarik dantelah banyak digunakan dalam kehidupan kita.Salah satu contohnya seperti pada strategipemasaran dan pengenalan produk kepadakonsumen melalui aplikasi virtual mirror eyeglassesyang berbasis web. Biasanya konsumen kesulitanjika ingin mencoba sebuah produk kacamata, merekabiasanya hanya bisa mencoba ketika akan membelikacamata dengan mendatangi langsung toko optikyang ada, jadi dengan begitu akan sangat membuangwaktu konsumen, tidak praktis, dan juga mengurangiminat konsumen terhadap produk yang ditawarkan.Dengan aplikasi kacamata virtual ini diharapkandapat menarik minat konsumen dan mengenalkanproduk-produk yang ditawarkan kepada konsumen.Virtual mirror eyeglasses adalah sebuah aplikasidimana konsumen dapat memakai kacamata secaravirtual menggunakan teknik face detection sepertisedang mencoba di depan cermin. Aplikasi inimensimulasikan model kacamata sehingga penggunaseakan-akan sedang menggunakan kacamata secarareal-time. Metode face detection yang digunakanadalah haar cascades classifier. Metode inimenggunakan haar feature yang banyak dandiorganisir dalam cascade classifier. Apabila tiapsubcitra berhasil melewati seluruh filter yang adamaka citra tersebut terdeteksi sebagai wajah. Melalui proses inilah wajah pengguna dapat terdeteksi

scholarly journals Face Detection for Augmented Reality Application Using Boosting-based Techniques

2016 ◽  
Vol 4 (2) ◽  
pp. 22 ◽  
Author(s):  
Youssef Hbali ◽  
Lahoucine Ballihi ◽  
Mohammed Sadgal ◽  
El Fazziki Abdelaziz
Keyword(s):  
Augmented Reality ◽  
Face Detection ◽  
Augmented Reality Application

scholarly journals Facial Recognition on System Prototype to Verify Users using Eigenface, Viola-Jones and Haar

2021 ◽  
Vol 3 (2) ◽  
pp. 213-222
Author(s):  
Robin Robin ◽  
Aldrick Handinata ◽  
Wenripin Chandra
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Facial Recognition ◽  
Prototype System ◽  
Body Parts ◽  
Test Results ◽  
Haar Feature ◽  
System Prototype

Facial recognition is one of the most popular way to authenticate user into a system. This method is preferable considering the tendency of users for using the same password across multiple sites which made the user has already made his own account securities in vulnerable states. Using biometrics might supply solutions to solve this problem and facial recognition is one of the best biometric methods can be apply as a digital account security solution. This study to design a prototype system implementing facial recognition to verify users to measure how accurate these methods are. The method used here is Viola-Jones for face detection, Eigenface and Haar feature for face recognition from the OpenCV. The system was designed in Java. Based on the test results from the system designed, system can recognize user face with 100% accuracy if faces are shot in a well desirable condition. The system is able to recognize the user's face with various expressions including with or without glasses. However, the system has difficulty in recognizing user’s face in facing up, down, sideways position or blocked by accessories or body parts such as hands. After some experiment, it was proven that the system designed is accurate, reliable and safe enough to be implemented to digital authorization process.

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