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Contemporary Topics in Computer Graphics and Games

Selected Papers from the Eurasia Graphics Conference Series

Edited By Veysi İşler, Haşmet Gürçay, Hasan Kemal Süher and Güven Çatak

This book provides an introduction and overview of the rapidly evolving topics of computer graphics and games, presenting the new perspectives employed by researchers and the industry, highlighting the recent empirical findings. Bringing selected papers from the Eurasia Graphics conference series together, the book aims to discuss issues, solutions, challenges, and needs for a better understanding of computer graphics and games.

The Games and Simulation section of this book covers the topics of game user experience, game narrative, playability heuristics, human computer interaction and various computer simulations. The Computer Graphics section deals with 3D modelling, procedural content generation, visualization, and interaction techniques.

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21. Transfer Function Refinement for Exploring Volume Data

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21.   Transfer Function Refinement for Exploring Volume Data

Shengzhou Luo

Graphics Vision and Visualisation Group Trinity College Dublin, Ireland luos@tcd.ie

John Dingliana

Graphics Vision and Visualisation Group Trinity College Dublin, Ireland John.Dingliana@tcd.ie

Abstract – Volume visualization is a powerful technique for depicting layered structures in 3D volume data sets. However, it is a major challenge to obtain clear visualizations of a volume with layers clearly revealed. In particular, the specification of the transfer function is frequently a time-consuming and unintuitive task in volume rendering. In this paper, we describe a global optimization and two user-driven refinement methods for modulating transfer functions in order to assist the exploration of volume data. This optimization is dependent on the distribution of scalar values of the volume data set and is designed to reduce general occlusion and improve the clarity of layers of structures in the resulting images. The user can explore a volume by interactively specifying different priority intensity ranges and observe which layers of structures are revealed. In addition, we show how the technique can be applied for time-varying volume data sets by adaptively refining the transfer function based on the histogram of each time-step. Experimental results on various data sets are presented to demonstrate the effectiveness of our method.

Keywords – visualization; transfer functions; volume data

I. Introduction

Transfer functions play an essential role in volume rendering. Through the assignment of visual properties, including color...

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