Viewpoint selection for shape comparison of mode water regions in a VR space

Midori Yano; Takayuki Itoh; Yuusuke Tanaka; Daisuke Matsuoka; Fumiaki Araki; Tobias Czauderna; Kingsley Stephens

doi:10.1109/IV.2019.00027

Viewpoint selection for shape comparison of mode water regions in a VR space

Midori Yano, Takayuki Itoh, Yuusuke Tanaka, Daisuke Matsuoka, Fumiaki Araki, Tobias Czauderna, Kingsley Stephens

Department of Human Centred Computing

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

1 Citation (Scopus)

Abstract

Virtual Reality (VR) provides immersive environments where users watch objects and scenes as if they were in front of users. This is a significant advantage while applying to 3D visualization systems. However, it is often difficult for novice users to make the best use of VR to reproduce the objects and scenes precisely and the comprehensively depending on the skills of users and the complexity of objects and scenes. One of the problems is that the allowed operations in VR are too flexible. Here, we propose a viewpoint selection method that allows every user to watch the objects and scenes easily and carefully in a VR space. The viewpoint is not fixed but can be shifted to the most favorable position according to the demand of users. Regarding the selected viewpoint as the initial position, users can easily go towards the target part with fewer movements. This system helps users to understand the complex objects in the VR space precisely with less time. We demonstrate our system on the observation of mode water pairs and discuss the comparative visualization results.

Original language	English
Title of host publication	Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging
Editors	Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, Nuno Datia, Joao Moura Pires, Rita Francese, Muhammad Sarfraz, Theodor G Wyeld, Fatma Bouali, Gilles Venturin, Hanane Azzag, Mustapha Lebbah, Marjan Trutschl, Urska Cvek, Heimo Muller, Minoru Nakayama, Sebastian Kernbach, Loredana Caruccio, Michele Risi, Ugo Erra, Autilia Vitiello, Veronica Rossano
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	106-111
Number of pages	6
ISBN (Electronic)	9781728128382
ISBN (Print)	9781728128399
DOIs	https://doi.org/10.1109/IV.2019.00027
Publication status	Published - 2019
Event	International Conference on Information Visualisation 2019 - Paris, France Duration: 2 Jul 2019 → 5 Jul 2019 Conference number: 23rd http://iv.csites.fct.unl.pt/fr/

Conference

Conference	International Conference on Information Visualisation 2019
Abbreviated title	IV 2019
Country/Territory	France
City	Paris
Period	2/07/19 → 5/07/19
Internet address	http://iv.csites.fct.unl.pt/fr/

Keywords

ocean data
scientific visualization
shape comparison
viewpoint selection
virtual reality

Access to Document

10.1109/IV.2019.00027

Cite this

Yano, M., Itoh, T., Tanaka, Y., Matsuoka, D., Araki, F., Czauderna, T., & Stephens, K. (2019). Viewpoint selection for shape comparison of mode water regions in a VR space. In E. Banissi, A. Ursyn, M. W. McK. Bannatyne, N. Datia, J. M. Pires, R. Francese, M. Sarfraz, T. G. Wyeld, F. Bouali, G. Venturin, H. Azzag, M. Lebbah, M. Trutschl, U. Cvek, H. Muller, M. Nakayama, S. Kernbach, L. Caruccio, M. Risi, U. Erra, A. Vitiello, ... V. Rossano (Eds.), Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging (pp. 106-111). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IV.2019.00027

Yano, Midori ; Itoh, Takayuki ; Tanaka, Yuusuke et al. / Viewpoint selection for shape comparison of mode water regions in a VR space. Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging. editor / Ebad Banissi ; Anna Ursyn ; Mark W. McK. Bannatyne ; Nuno Datia ; Joao Moura Pires ; Rita Francese ; Muhammad Sarfraz ; Theodor G Wyeld ; Fatma Bouali ; Gilles Venturin ; Hanane Azzag ; Mustapha Lebbah ; Marjan Trutschl ; Urska Cvek ; Heimo Muller ; Minoru Nakayama ; Sebastian Kernbach ; Loredana Caruccio ; Michele Risi ; Ugo Erra ; Autilia Vitiello ; Veronica Rossano. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 106-111

@inproceedings{0f906b1f05b74b12854c1eb8d9d60807,

title = "Viewpoint selection for shape comparison of mode water regions in a VR space",

abstract = "Virtual Reality (VR) provides immersive environments where users watch objects and scenes as if they were in front of users. This is a significant advantage while applying to 3D visualization systems. However, it is often difficult for novice users to make the best use of VR to reproduce the objects and scenes precisely and the comprehensively depending on the skills of users and the complexity of objects and scenes. One of the problems is that the allowed operations in VR are too flexible. Here, we propose a viewpoint selection method that allows every user to watch the objects and scenes easily and carefully in a VR space. The viewpoint is not fixed but can be shifted to the most favorable position according to the demand of users. Regarding the selected viewpoint as the initial position, users can easily go towards the target part with fewer movements. This system helps users to understand the complex objects in the VR space precisely with less time. We demonstrate our system on the observation of mode water pairs and discuss the comparative visualization results.",

keywords = "ocean data, scientific visualization, shape comparison, viewpoint selection, virtual reality",

author = "Midori Yano and Takayuki Itoh and Yuusuke Tanaka and Daisuke Matsuoka and Fumiaki Araki and Tobias Czauderna and Kingsley Stephens",

year = "2019",

doi = "10.1109/IV.2019.00027",

language = "English",

isbn = "9781728128399",

pages = "106--111",

editor = "Ebad Banissi and Anna Ursyn and {McK. Bannatyne}, {Mark W.} and Nuno Datia and Pires, {Joao Moura} and Rita Francese and Muhammad Sarfraz and Wyeld, {Theodor G} and Fatma Bouali and Gilles Venturin and Hanane Azzag and Mustapha Lebbah and Marjan Trutschl and Urska Cvek and Heimo Muller and Minoru Nakayama and Sebastian Kernbach and Loredana Caruccio and Michele Risi and Ugo Erra and Autilia Vitiello and Veronica Rossano",

booktitle = "Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Conference on Information Visualisation 2019, IV 2019 ; Conference date: 02-07-2019 Through 05-07-2019",

url = "http://iv.csites.fct.unl.pt/fr/",

}

Yano, M, Itoh, T, Tanaka, Y, Matsuoka, D, Araki, F, Czauderna, T & Stephens, K 2019, Viewpoint selection for shape comparison of mode water regions in a VR space. in E Banissi, A Ursyn, MW McK. Bannatyne, N Datia, JM Pires, R Francese, M Sarfraz, TG Wyeld, F Bouali, G Venturin, H Azzag, M Lebbah, M Trutschl, U Cvek, H Muller, M Nakayama, S Kernbach, L Caruccio, M Risi, U Erra, A Vitiello & V Rossano (eds), Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 106-111, International Conference on Information Visualisation 2019, Paris, France, 2/07/19. https://doi.org/10.1109/IV.2019.00027

Viewpoint selection for shape comparison of mode water regions in a VR space. / Yano, Midori; Itoh, Takayuki; Tanaka, Yuusuke et al.
Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging. ed. / Ebad Banissi; Anna Ursyn; Mark W. McK. Bannatyne; Nuno Datia; Joao Moura Pires; Rita Francese; Muhammad Sarfraz; Theodor G Wyeld; Fatma Bouali; Gilles Venturin; Hanane Azzag; Mustapha Lebbah; Marjan Trutschl; Urska Cvek; Heimo Muller; Minoru Nakayama; Sebastian Kernbach; Loredana Caruccio; Michele Risi; Ugo Erra; Autilia Vitiello; Veronica Rossano. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 106-111.

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

TY - GEN

T1 - Viewpoint selection for shape comparison of mode water regions in a VR space

AU - Yano, Midori

AU - Itoh, Takayuki

AU - Tanaka, Yuusuke

AU - Matsuoka, Daisuke

AU - Araki, Fumiaki

AU - Czauderna, Tobias

AU - Stephens, Kingsley

N1 - Conference code: 23rd

PY - 2019

Y1 - 2019

N2 - Virtual Reality (VR) provides immersive environments where users watch objects and scenes as if they were in front of users. This is a significant advantage while applying to 3D visualization systems. However, it is often difficult for novice users to make the best use of VR to reproduce the objects and scenes precisely and the comprehensively depending on the skills of users and the complexity of objects and scenes. One of the problems is that the allowed operations in VR are too flexible. Here, we propose a viewpoint selection method that allows every user to watch the objects and scenes easily and carefully in a VR space. The viewpoint is not fixed but can be shifted to the most favorable position according to the demand of users. Regarding the selected viewpoint as the initial position, users can easily go towards the target part with fewer movements. This system helps users to understand the complex objects in the VR space precisely with less time. We demonstrate our system on the observation of mode water pairs and discuss the comparative visualization results.

AB - Virtual Reality (VR) provides immersive environments where users watch objects and scenes as if they were in front of users. This is a significant advantage while applying to 3D visualization systems. However, it is often difficult for novice users to make the best use of VR to reproduce the objects and scenes precisely and the comprehensively depending on the skills of users and the complexity of objects and scenes. One of the problems is that the allowed operations in VR are too flexible. Here, we propose a viewpoint selection method that allows every user to watch the objects and scenes easily and carefully in a VR space. The viewpoint is not fixed but can be shifted to the most favorable position according to the demand of users. Regarding the selected viewpoint as the initial position, users can easily go towards the target part with fewer movements. This system helps users to understand the complex objects in the VR space precisely with less time. We demonstrate our system on the observation of mode water pairs and discuss the comparative visualization results.

KW - ocean data

KW - scientific visualization

KW - shape comparison

KW - viewpoint selection

KW - virtual reality

UR - http://www.scopus.com/inward/record.url?scp=85072285307&partnerID=8YFLogxK

U2 - 10.1109/IV.2019.00027

DO - 10.1109/IV.2019.00027

M3 - Conference Paper

AN - SCOPUS:85072285307

SN - 9781728128399

SP - 106

EP - 111

BT - Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging

A2 - Banissi, Ebad

A2 - Ursyn, Anna

A2 - McK. Bannatyne, Mark W.

A2 - Datia, Nuno

A2 - Pires, Joao Moura

A2 - Francese, Rita

A2 - Sarfraz, Muhammad

A2 - Wyeld, Theodor G

A2 - Bouali, Fatma

A2 - Venturin, Gilles

A2 - Azzag, Hanane

A2 - Lebbah, Mustapha

A2 - Trutschl, Marjan

A2 - Cvek, Urska

A2 - Muller, Heimo

A2 - Nakayama, Minoru

A2 - Kernbach, Sebastian

A2 - Caruccio, Loredana

A2 - Risi, Michele

A2 - Erra, Ugo

A2 - Vitiello, Autilia

A2 - Rossano, Veronica

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - International Conference on Information Visualisation 2019

Y2 - 2 July 2019 through 5 July 2019

ER -

Yano M, Itoh T, Tanaka Y, Matsuoka D, Araki F, Czauderna T et al. Viewpoint selection for shape comparison of mode water regions in a VR space. In Banissi E, Ursyn A, McK. Bannatyne MW, Datia N, Pires JM, Francese R, Sarfraz M, Wyeld TG, Bouali F, Venturin G, Azzag H, Lebbah M, Trutschl M, Cvek U, Muller H, Nakayama M, Kernbach S, Caruccio L, Risi M, Erra U, Vitiello A, Rossano V, editors, Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 106-111 doi: 10.1109/IV.2019.00027

Viewpoint selection for shape comparison of mode water regions in a VR space

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Keywords

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