Implementation of Augmented Reality Technology in Sangiran Museum with Vuforia

International Conference on Advanced Materials for Better Future 2017

Purnomo, F.A.^1 ; Santosa, P.I.^2 ; Hartanto, R.^2 ; Pratisto, E.H.^1 ; Purbayu, A.^1

Informatics Engineering Department, Sebelas Maret University, Jl. Ir. Sutami 36A, Surakarta

57126, Indonesia^1

Faculty of Engineering, Gadjah Mada University, Yogyakarta, Indonesia^2

关键词: 3-d modeling;    AR application;    Archaeological objects;    Augmented reality applications;    Augmented reality systems;    Augmented reality technology;    Recognition process;    Virtual information;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/333/1/012103/pdf
DOI  :  10.1088/1757-899X/333/1/012103

来源: IOP

【 摘 要 】

Archaeological object is an evidence of life on ancient relics which has a lifespan of millions years ago. The discovery of this ancient object by the Museum Sangiran then is preserved and protected from potential damage. This research will develop Augmented Reality application for the museum that display a virtual information from ancient object on display. The content includes information as text, audio, and animation of 3D model as a representation of the ancient object. This study emphasizes the 3D Markerless recognition process by using Vuforia Augmented Reality (AR) system so that visitor can access the exhibition objects through different viewpoints. Based on the test result, by registering image target with 25o angle interval, 3D markerless keypoint feature can be detected with different viewpoint. The device must meet minimal specifications of Dual Core 1.2 GHz processor, GPU Power VR SG5X, 8 MP auto focus camera and 1 GB of memory to run the application. The average success of the AR application detects object in museum exhibition to 3D Markerless with a single view by 40%, Markerless multiview by 86% (for angle 0° - 180°) and 100% (for angle 0° - 360°). Application detection distance is between 23 cm and up to 540 cm with the response time to detect 3D Markerless has 12 seconds in average.