Research

Diposting pada October 23, 2009 | Awan:

2011:  Gaze Tracking in Virtual Environment (Ongoing Project !)

My current research project is closely related with Virtual Reality (VR) application. I am working on finding a novel method to investigate gaze of virtual reality user. Understanding user gaze in VR environment is very important, due to its usage in interactivity and investigating some sicknesses when VR user is immersed in VR environment. To support this research, a Holostage™ system is used to provide immersive VR environment. I work under supervision of Professor Kazuhiko Hamamoto of Tokai University, Japan.

2011:  Interactive Medical Visualization Environment (IMVIRO)

I worked on VTK (Visualization Toolkit) and ARToolkit to merge medical visualization into augmented reality environment. The goal of this research was to provide user friendly application for medical expert to view stack of CT images in three-dimensional scene. You could find some explanations about current development of this research at my research log

2011: Visual 3D Reconstruction from Multi View Geometry

I am also interested in Visual 3D Reconstruction. As you may know, I used Direct Linear Transformation (DLT) algorithm for my master thesis work. In my master thesis work, DLT was used to obtain sophisticated result of 3D position of the eye. The DLT algorithm is originally used for reconstructing 3D rigid object from multiple 2D images taken from several positions. Given several calibrated cameras and images taken from those cameras, we can build a 3D model of building, house, cultural heritage, etc. The study of 3D reconstruction was started last year when i read “Image Processing, Analysis, and Machine Vision” of Milan Sonka, et al. In the future, i will also try some small project implementing low cost 3D scanner to obtain 3D model of small object. For preliminary investigation, i use Matlab and Computer Vision Toolbox

Publications:

S. Wibirama, “Fundamental Techniques for 3D Computer Vision”, Wibirama.Com, Yogyakarta, Indonesia, 2011. (Tutorial in English). Please refer to complete download page

2009-2010: Three-Dimensional Eye Tracking

In this research, we suggest a new approach for accurate measurement of three-dimensional eye movements employing dual-camera acquisition. Two calibrated mini CCD cameras are used to capture two simultaneous images of one eye. Center of mass and template matching algorithms are utilized to obtain two-dimensional coordinates of the center of pupil and iris striation. Instead of asking each patient to fulfill intricate calibration steps, a novel and simpler technique to solve geometric distortion is presented by utilizing Direct Linear Transformation (DLT) algorithm that requires only one preliminary calibration procedure for each camera without changing any camera installation. The DLT algorithm is then used to extract three-dimensional coordinates of the center of pupil and iris striation from prior two-dimensional coordinates data, allowing the three-dimensional angular positions of the eye to be computed. Real-time eyeball visualization based on tracking results is incorporated to help clinicians diagnose the eye movements. Experimental results show that our system has high accuracy as the average errors in horizontal, vertical, and torsional angular positions were confined to 0.15 , 0.14, and 0.20 degrees, respectively. Real-time implementation demonstrates that our system can be used in clinical routine to observe either voluntary or involuntary human eye movements.

Publications:

S. Wibirama, “Sistem Pelacak Gerakan Mata 3D”, in Proceeding of Seminar Nasional Teknologi Informasi 2009 (SNATI 2009), ISSN:1907-5022, Yogyakarta, Indonesian Islamic University, 2009. (Bahasa Indonesia). Download PDF

S. Wibirama, S.Tungjitkusolmun, C. Pintavirooj, and K. Hamamoto, “Dual Cameras Acquisition For Three-Dimensional Eye-Motion Tracking” in Proceeding of 2nd Biomedical Engineering International Conference (BMEiCON 2009), Thailand, 2009, pp.18-19. Download PDF

S. Wibirama, S. Tungjitkusolmun, & C. Pintavirooj, 2010, “Real-time 3D Eye Movements Tracking and Visualization using Dual Cameras Acquisition,” Bangkok, Department of Electronics, King Mongkut’s Institute of Technology Ladkrabang. read online on Scribd

S. Wibirama,  S. Tungjitkusolmun, and C. Pintavirooj, “Real-time 3D Eyeball Visualization on Stereo Eye Movements Tracking System,” in The 3rd Regional Conference on ICT Applications for Industries and Small Companies in ASEAN Countries(RCICT 2011), Laos, 2011.

Below is a poster presentation in 3.9G Human D.N.A. Expo
(Thanks to Mr. Teeravat Suparatphariyakron for sending me this picture!)

Demo:

2008 – 2009: Two-Dimensional Eye Tracking

An Eye-motion tracking system for acquisition and estimating of eye movement is introduced in this research. The system consists of two infrared cameras mounted on the binocular. The acquired image is transmitted to the personal camera via the USB ports for further analysis in real time. The pre-process digital image processing is applied to the eye-motion image by first thresholding the image using adaptive thresholding. The segmented pupil image is then located using template matching. The ROI image around the eye is then processed to determine the eye movement using motion gradient. The horizontal and vertical movement of eye is then estimated using the package software.

Publications:

S. Wibirama, V. Mahasitthiwat, S. Tungjitkusolmun, C. Pintavirooj, and K. Vichienchom, “Eye-Motion Tracking Using Motion Gradient,” in Proceeding of  The 3rd International Symposium on Biomedical Engineering 2008, Thailand, 2008, pp.84-87 and in The Papers of Technical Meeting on Medical and Biological Engineering 09-36~70, IEE Japan, 31 March 2009, pp. 121-124. Download PDF

S. Wibirama, S. Tungjitkusolmun, C. Pintavirooj, and K. Hamamoto, “Real Time Eye Tracking using Initial Centroid and Gradient Analysis,” in Proceeding of  The 6th IEEE International Conference of Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology (ECTI). ISBN:978-1-4244-3388-9. Pattaya, Thailand. 6-8 May 2009, pp. 1058-1061.Download PDF

Demo:

2007:  Laboratory Management System

The making of ‘iLab’ Content Management System (CMS) begins with a fact that there are only a few amount of web based open source CMS implemented for laboratory management. Also, laboratory management in Electrical Engineering UGM has not optimalized the advantege of information technology yet. Thus, the making of web based laboratory CMS hopefully can increase the quality and effectivity of laboratory management in Electrical Engineering UGM. Ilab CMS was made with CakePHP framework. CakePHP is a framework based on PHP scripting language with Model-View-Controller (MVC) architecture and using Object Oriented Programming (OOP) concept for source code writing. The synthesis of MVC and OOP concept and also adequate framework documentation are the main reasons of using CakePHP as a framework to built a laboratory CMS application which is structured, easy to understand, and easy to develop.

Publications:

S. Wibirama, L.E.Nugroho, & I. Hidayah, 2007, Design and Implementation of Laboratory Content  Management System (CMS) iLab with CakePHP Framework, Yogyakarta, Electrical Engineering Department, Gadjah Mada University.
Download PDF (paper) | read online on Scribd

D.H. Fudholi & S. Wibirama, “iLab: Sistem Manajemen Konten Laboratorium Terdistribusi,” inProceeding of Konferensi Nasional Sistem Informasi 2009, ISBN:978-979-1153-66-9, Yogyakarta, Indonesian Islamic University, 2009. (Bahasa Indonesia). Download PDF

Demo:

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