qr code augmented reality tracking with merging on conventional marker based backpropagation neural...

QR Code Augmented Reality Tracking with Merging on Conventional Marker based Backpropagation Neural

NetworkGIA MUHAMAD AGUSTA, KHODIJAH HULLIYAH, ARINI, RIZAL BROER BAHAWERES

DEPARTMENT OF COMPUTER SCIENCE

• Introduction about Augmented Reality and QR Code• A simple approach to handle QR Code as Marker• Marker Detection Algorithm• Perspective Projection• Feature Extraction• Backpropagation Approach• Experimental Result• Conclusion and Future Work

PRESENTATIONSUMMARY

GiaMuhammad | Depok, December 1st – 2nd, 2012International Conference on Advanced Computer Science and Information Systems (ICACSIS) 2012 | Crystal of Knowledge, University of Indonesia

• Augmented Reality• QR Code

INTRODUCTION


INTRODUCTION


ARToolKitPlus4096 Combination ID

ARTag4x10^12 Combination ID

QRAR10^7089 Combination IDBut have limited distance and angle (6 DOF) while tracking

MERGING QR CODE ON CONVENTIONAL MARKER


QR Code Marker

MARKER DETECTION ALGORITHM


PERSPECTIVE PROJECTION


[ 𝑢𝑖

𝑣 𝑖𝑤𝑖

]=[𝑎 𝑏 𝑐𝑑 𝑒 𝑓𝑔 h 1 ] [

𝑥 𝑖

𝑦 𝑖1 ]

FEATURE EXTRACTION


Listed Feature1) White color percentage,2) Black color percenage,3) Number of Contour,4) Contour Graylevel,5) x coordinate, and6) y coodinate graylevel location.

BACKPROPAGATION


• Architecture and Parametero 3 Layer (Input, Hidden dan Output)o 24 Neuron Inputo 105 Neuron Hiddeno 2 Neuron Outputo Sigmoid Activationo Nguyen Widrow Weight

Initialitationo MSE Target 5x10-5

o 5000 Epocho Learning Rate (α) = 0.06

EXPERIMENTAL RESULT


Marker Sample Number MSE

QR Encode Length 78 105 0.003715




Microsoft Tag 85 0.155362

Tradisional Marker 85 0.000149

ARToolKitPlus Marker 60 0.000069

ARTag Marker 60 0.000050

EXPERIMENTAL RESULT


(Castro & Figueroa, 2007)

Pitching

Yawing

Surging

EXPERIMENTAL RESULT


6 DOF

Accurate Maximum

Previous Method (Kan, Teng, & Chou, 2009) Current Method

pitching ±43° ±10.65°

yawing ±58° ±15.03°

surging ±374 ±408.07

EXPERIMENTAL RESULT


CONCLUSION AND FUTURE WORK
