Dynamic focus+context for volume rendering

P. Sikachev; P. Rautek; S. Bruckner; M. E. Gröller

doi:10.2312/PE/VMV/VMV10/331-338

Dynamic focus+context for volume rendering

P. Sikachev, P. Rautek, S. Bruckner, M. E. Gröller

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Interactive visualization is widely used in many applications for efficient representation of complex data. Many techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics. Our approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.

Original language	English (US)
Title of host publication	VMV 2010 - Vision, Modeling and Visualization
Pages	331-338
Number of pages	8
DOIs	https://doi.org/10.2312/PE/VMV/VMV10/331-338
State	Published - 2010
Externally published	Yes
Event	15th International Workshop on Vision, Modeling and Visualization, VMV 2010 - Siegen, Germany Duration: Nov 15 2010 → Nov 17 2010

Publication series

Name	VMV 2010 - Vision, Modeling and Visualization

Other

Other	15th International Workshop on Vision, Modeling and Visualization, VMV 2010
Country/Territory	Germany
City	Siegen
Period	11/15/10 → 11/17/10

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Modeling and Simulation

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10.2312/PE/VMV/VMV10/331-338

Cite this

@inproceedings{c36945dbb18f4d65af087ab9bf93ed66,

title = "Dynamic focus+context for volume rendering",

abstract = "Interactive visualization is widely used in many applications for efficient representation of complex data. Many techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics. Our approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.",

author = "P. Sikachev and P. Rautek and S. Bruckner and Gr{\"o}ller, {M. E.}",

year = "2010",

doi = "10.2312/PE/VMV/VMV10/331-338",

language = "English (US)",

isbn = "9783905673791",

series = "VMV 2010 - Vision, Modeling and Visualization",

pages = "331--338",

booktitle = "VMV 2010 - Vision, Modeling and Visualization",

note = "15th International Workshop on Vision, Modeling and Visualization, VMV 2010 ; Conference date: 15-11-2010 Through 17-11-2010",

}

TY - GEN

T1 - Dynamic focus+context for volume rendering

AU - Sikachev, P.

AU - Rautek, P.

AU - Bruckner, S.

AU - Gröller, M. E.

PY - 2010

Y1 - 2010

N2 - Interactive visualization is widely used in many applications for efficient representation of complex data. Many techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics. Our approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.

AB - Interactive visualization is widely used in many applications for efficient representation of complex data. Many techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics. Our approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.

UR - http://www.scopus.com/inward/record.url?scp=84878934192&partnerID=8YFLogxK

U2 - 10.2312/PE/VMV/VMV10/331-338

DO - 10.2312/PE/VMV/VMV10/331-338

M3 - Conference contribution

AN - SCOPUS:84878934192

SN - 9783905673791

T3 - VMV 2010 - Vision, Modeling and Visualization

SP - 331

EP - 338

BT - VMV 2010 - Vision, Modeling and Visualization

T2 - 15th International Workshop on Vision, Modeling and Visualization, VMV 2010

Y2 - 15 November 2010 through 17 November 2010

ER -

Dynamic focus+context for volume rendering

Abstract

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