Aplikasi Findgo-ITATS Berbasis Android Dengan Algoritma SURF Untuk Menampilkan Informasi Lokasi Di ITATS

Rinci Kembang Hapsari, Nur Sulaiman, Luky Agus Hermanto

Abstract


Institut Teknologi Adhi Tama Surabaya (ITATS) is an institute that has relatively wide territory and complicated building arrangement for outsiders especially related to identification of buildings that they want to visit. To overcome this problem, an android based application that can be used to gain information related to those buildings, locations of places or important places in real-time is required. Augmented Reality (AR) is the appropriate technology to display environment and locations information at ITATS in real-time. The implementation of Augmented Reality technology on android based smartphones using Speeded Up Robust Features (SURF) can identify pictures continuously and has proper identification speed. Speeded Up Robust Features (SURF) is an algorithm that has been commonly applied in correspondence matching because it is faster than Scale Invariant Feature Transform (SIFT) and has appropriate and accurate performance maintenance. In designing this application, there are three main stages that should be considered, namely: initialization, tracking marker, and object rendering. Initialization is the stage where images that becomes the database is preliminary processed with Speeded Up Robust Features (SURF) algorithm and  the preparation of the displayed information on the users’ smartphones. The second is tracking marker, smartphone camera takes pictures continuously while processing every inputted image applying Speeded Up Robust Features (SURF) and conducting matching process of images in the database. The final stage, after a match is found, this application displays the text information which corresponds with the matching result. The reliability of this system in recognizing locations at ITATS is 81.66% and average time required is 2.333 seconds.


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References


Anitha, J. Jasmine and S.M. Deepa. 2014. “Tracking and Recognition of Objects using SURF Descriptor and Harris Corner Detection”. Nehru Institute of Engineering and Technology (Anna University), Coimbatore. India

Affan dan Eddo, Mahtarami, Ertino. 2012. “Game Marble Maze Berbasis Augmented Reality”. Universitas Islam Indonesia.Yogyakarta.

Budiyatno, Slamet. 2012. “Implementasi Sistem Pengenalan Wajah Sebagai Penghubung Jejaring Sosial: Penerapan Augmented Reality Sebagai Penampil Informasi Hasil Pengenalan Wajah Pada Perangkat Android”. Fakultas Teknik - Program Studi Teknik Komputer. Depok.

Cawood, Stephen, Fiala, Mark. 2008. “Augmented Reality: A Practical Guide”, The Pragmatic Bookshell, Raleigh. Texas

Hongbo Li, Ming Qi And Yu Wu. 2012. “A Real-Time Registration Method Of Augmented Reality Based On SURF And Optical Flow”. Institute of Web Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065. China

Tania, Ken Ditha. 2010. "Pengenalan Gambar Menggunakan Sebagian Data Gambar". Universitas Sriwijaya. Palembang.


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