OPACITY INFLUENCED INCONSTANT METHOD FOR 3D HOLOGRAPHIC PYRAMID RENDERING

Sarah َQahtan Mohammed Salih; Puteri Suhaiza Sulaiman; Abdul Sattar Arif Khammas; Ramlan Mahmod; Rahmita Wirza O.K. Rahmat

doi:10.23851/mjs.v30i4.597

Authors

Sarah َQahtan Mohammed Salih Computer Center, College of health and medical technology-Baghdad, Middle Technical University. http://orcid.org/0000-0002-5636-5901
Puteri Suhaiza Sulaiman Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan http://orcid.org/0000-0002-8350-556X
Abdul Sattar Arif Khammas Radiology departments, College of health and medical technology-Baghdad, Middle Technical University
Ramlan Mahmod Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan http://orcid.org/0000-0003-1359-0444
Rahmita Wirza O.K. Rahmat Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan http://orcid.org/0000-0002-9168-2451

DOI:

https://doi.org/10.23851/mjs.v30i4.597

Keywords:

3D visualization, depth cue, Phong shading, 3D holographic display, surface Rendering.

Abstract

The rapid growth of computer graphics in human daily life has inspired researchers to maximize image understanding and discover new methods for visualizing 3D objects. However, the image quality is constrained by the depth cue limitations of 3D objects produced by 3D displays. The advent of the holographic hologram pyramid display offers better image quality due to its ability to visualize 3D data with satisfactory depth. In this paper, we present a new visualization method named the “opacity influenced inconstant method” that exploits the custom surface rendering technique to enhance understanding of massive 3D objects for a hologram pyramid display. An algorithm is developed by adding an opacity variable and manipulating the intensity and position of the other variables to enhance the depth cues of a 3D object. The opacity value has the ability to show the inner structure of an object to be visualized if it is available. Our results show significant enhancement on the depth cues of the 3D object that presents as a hologram floating inside a transparent pyramid. The results of a survey conducted on computer graphics students shows that the quality of the hologram was preferred when it was compared to the previous method. In addition, the depth cues of the 3D object were reported to be enhanced by the opacity influenced inconstant method when compared to the previous study and standard shading.

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Author Biographies

Sarah َQahtan Mohammed Salih, Computer Center, College of health and medical technology-Baghdad, Middle Technical University.

I received my BSc. degree in Computer Science from University of Baghdad, in 2006, and Master of Science – Computer Graphics from University of Putra Malaysia (UPM), in 2017. I am currently lecturer at Department of Computer Center, Middle Technical University. My research interest includes Image Processing, Surface Rendering, Volume Rendering and Non-Photorealistic Rendering (NPR). I am currently investigating the impact of using NPR for medical volume rendering in helping the surgeon to plan for critical surgery.
Puteri Suhaiza Sulaiman, Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan

She is currently a senior lecturer in the Department of Multimedia, Faculty of Computer Science and Information Technology at University Putra Malaysia. She received her Ph.D. degree in Computer Graphic from University Putra Malaysia, in 2010, M.S. in Computer Science from University Technology Malaysia (UTM), in 2003, and Bac. in Computer Science from UTM, in 2000. Her research interests include Computer Graphics, Geographical Information Systems, Medical Visualization, Virtual Reality, and Computer Games.
Abdul Sattar Arif Khammas, Radiology departments, College of health and medical technology-Baghdad, Middle Technical University

In 2008, I received my BSc. degree in Radiological Techniques from College of Health and Middle Technology - Baghdad/ Middle Technical University. In 2017, I obtained the MSc. in Radiology from Faculty of Medicine and Health Sciences / University of Putra Malaysia (UPM). I am currently lecturer at Department of Radiological Techniques / College of Health and Medical Technology-Baghdad / Middle Technical University. My research interest includes central nervous system medical imaging.
Ramlan Mahmod, Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan

He Holds a PhD in Artificial Intelligence, Bradford University, UK since 1994. he received his B.Sc. and M.Sc. degrees in Computer Science from Western Michigan University and Central Michigan University, USA , in 1983 and 1985. He is currently a Professor at Faculty of Computer Science and Information Technology, Putra University of Malaysia. His research area is artificial intelligence and security computing.
Rahmita Wirza O.K. Rahmat, Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan

She received her B.Sc. and M.Sc. degrees in Science Mathematics from University Science Malaysia, in 1989 and 1994, respectively. During 1989 to 1990, she was working as research assistance in Department of Physics in University Science Malaysia experimenting on Ozone layer measurement at the Equatorial region, before working as tutor in University Putra Malaysia. She received her PhD in Computer Assisted Engineering from University of Leeds, U.K. At this moment she is working in Faculty of Computer Science and Information Technology as lecturer (Prof in Computer Graphics). Among her focus research area are Computer Graphics, Computer Assisted Surgery and Computational Geometry.

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