Scalable maps of random dots for middle-scale locative mobile games

Lu Chen; Hongbo Fu; Wing Ho Andy Li; Chiew-Lan Taj

doi:10.1109/VR.2013.6549356

Scalable maps of random dots for middle-scale locative mobile games

Lu Chen
, Hongbo Fu
, Wing Ho Andy Li
, Chiew-Lan Taj

City University of Hong Kong

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

In this work we present a new scalable map for middle-scale locative games. Our map is built upon the recent development of fiducial markers, specifically, the random dot markers. We propose a simple solution, i.e., using a grid of compound markers, to address the scalability problem. Our highly scalable approach is able to generate a middle-scale map on which multiple players can stand and position themselves via mobile cameras in real time. We show how a classic computer game can be effectively adapted to our middle-scale gaming platform. © 2013 IEEE.

Original language	English
Title of host publication	Proceedings - IEEE Virtual Reality
Pages	39-42
DOIs	https://doi.org/10.1109/VR.2013.6549356
Publication status	Published - 2013
Event	20th IEEE Virtual Reality Conference (VR 2013) - Orlando, FL, United States Duration: 16 Mar 2013 → 20 Mar 2013

Conference

Conference	20th IEEE Virtual Reality Conference (VR 2013)
Abbreviated title	VR 2013
Place	United States
City	Orlando, FL
Period	16/03/13 → 20/03/13

Research Keywords

H.5.l [Information Interfaces And Presentation]: Multimedia Information Systems-Artificial, augmented and virtual realities
I.4.9 [Computing Methodologies]: Image Processing and Computer Vision-Applications

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title = "Scalable maps of random dots for middle-scale locative mobile games",

abstract = "In this work we present a new scalable map for middle-scale locative games. Our map is built upon the recent development of fiducial markers, specifically, the random dot markers. We propose a simple solution, i.e., using a grid of compound markers, to address the scalability problem. Our highly scalable approach is able to generate a middle-scale map on which multiple players can stand and position themselves via mobile cameras in real time. We show how a classic computer game can be effectively adapted to our middle-scale gaming platform. {\textcopyright} 2013 IEEE.",

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author = "Lu Chen and Hongbo Fu and \{Andy Li\}, \{Wing Ho\} and Chiew-Lan Taj",

year = "2013",

doi = "10.1109/VR.2013.6549356",

language = "English",

isbn = "9781467347952",

pages = "39--42",

booktitle = "Proceedings - IEEE Virtual Reality",

note = "20th IEEE Virtual Reality Conference (VR 2013), VR 2013 ; Conference date: 16-03-2013 Through 20-03-2013",

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T1 - Scalable maps of random dots for middle-scale locative mobile games

AU - Chen, Lu

AU - Fu, Hongbo

AU - Andy Li, Wing Ho

AU - Taj, Chiew-Lan

PY - 2013

Y1 - 2013

N2 - In this work we present a new scalable map for middle-scale locative games. Our map is built upon the recent development of fiducial markers, specifically, the random dot markers. We propose a simple solution, i.e., using a grid of compound markers, to address the scalability problem. Our highly scalable approach is able to generate a middle-scale map on which multiple players can stand and position themselves via mobile cameras in real time. We show how a classic computer game can be effectively adapted to our middle-scale gaming platform. © 2013 IEEE.

AB - In this work we present a new scalable map for middle-scale locative games. Our map is built upon the recent development of fiducial markers, specifically, the random dot markers. We propose a simple solution, i.e., using a grid of compound markers, to address the scalability problem. Our highly scalable approach is able to generate a middle-scale map on which multiple players can stand and position themselves via mobile cameras in real time. We show how a classic computer game can be effectively adapted to our middle-scale gaming platform. © 2013 IEEE.

KW - H.5.l [Information Interfaces And Presentation]: Multimedia Information Systems-Artificial, augmented and virtual realities

KW - I.4.9 [Computing Methodologies]: Image Processing and Computer Vision-Applications

UR - https://www.scopus.com/pages/publications/84884879600

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84884879600&origin=recordpage

U2 - 10.1109/VR.2013.6549356

DO - 10.1109/VR.2013.6549356

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781467347952

SP - 39

EP - 42

BT - Proceedings - IEEE Virtual Reality

T2 - 20th IEEE Virtual Reality Conference (VR 2013)

Y2 - 16 March 2013 through 20 March 2013

ER -

Scalable maps of random dots for middle-scale locative mobile games

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