中文繁體 |
中文简体
Interactive Editing and Automatic Evaluation of Direct Volume Rendered Images
The Hong Kong University of Science and Technology
Department of Computer Science and Engineering
PhD Thesis Defence
Title: "Interactive Editing and Automatic Evaluation of Direct Volume Rendered
Images"
By
Mr. Yingcai Wu
Abstract
Direct Volume Rendering is a powerful volume visualization method which
allows users to visually explore the volume datasets in a highly flexible
manner. Despite the powerful capability of direct volume rendering for
exploring volume data, its inherent complexity of specifying rendering
parameters often results in a tedious and non-intuitive visualization
process. In addition, because of its complicated ray casting and
compositing process, its results (direct volume rendered images) usually
contain misleading information such as artifacts and depth ambiguity,
which makes the visualization unreliable and ineffective for volume
exploration. In this thesis, we present four methods for improving the
intuitiveness and effectiveness of direct volume rendering as follows.
1). An editing framework for direct volume rendered images, allowing users
to interactively explore complex volumetric datasets by directly editing
direct volume rendered images.
2). A palette-style volume visualization method, which can automatically
store and systematically organize intermediate results created during a
volume visualization process, such that users can locate their desired
results quickly and generate a new result based on the editing framework.
3). A new framework for creating depth-revealing and relation-preserving
animations of direct volume rendered images based on the editing framework
and an adapted fuzzy spatial ontology.
4). A set of quantitative effectiveness measures, i.e., the
distinguishability, the edge consistency, the contour clarity, and the
depth coherence measures, to evaluate the effectiveness of a direct volume
rendered image or a whole visualization process from different
perspectives.
With these four proposed methods, a comprehensive volume visualization
system has been developed, enabling users to interactively edit,
intuitively organize, effectively animate, and automatically evaluate
direct volume rendered images.
Date: Thursday, 10 December 2009
Time: 4:00pm – 6:00pm
Venue: Room 3311
Lifts 17/18
Chairman: Prof. Chii Shang (CIVL)
Committee Members: Prof. Huamin Qu (Supervisor)
Prof. Albert Chung
Prof. Chi-Keung Tang
Prof. Weichuan Yu (ECE)
Prof. Pheng-Ann Heng (CSE, CUHK)
**** ALL are Welcome ****
