Three-dimensional point-cloud room model in room acoustics simulations

Milos Markovic, Søren Krarup Olesen, Dorte Hammershøi

Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

4061 Downloads (Pure)

Resumé

Telepresence applications require communication with the feeling of being together and sharing the same environment. One important task in these applications is to render the acoustics of the distant room for the telepresence system user. This paper presents a fast method for the room geometry acquisition and its representation with a 3D point-cloud model, as well as utilization of such a model for the room acoustics simulations. A room is scanned with a commercially available input device (Kinect for Xbox360) in two different ways; the first one involves the device placed in the middle of the room and rotated around the vertical axis while for the second one the device is moved within the room. Benefits of both approaches were analyzed. The device's depth sensor provides a set of points in a three-dimensional coordinate system which represents scanned surfaces of the room interior. These data are used to build a 3D point-cloud model of the room. Several models are created to meet requirements of different room acoustics simulation algorithms: plane fitting and uniform voxel grid for geometric methods and triangulation mesh for the numerical methods. Advantages of the proposed method over the traditional approaches are discussed.
OriginalsprogEngelsk
TidsskriftThe Journal of the Acoustical Society of America
Vol/bind133
Udgave nummer5
Sider (fra-til)3532-3532
ISSN0001-4966
DOI
StatusUdgivet - 2013
Begivenhed21st International Congress on Acoustics - Montreal, Canada
Varighed: 2 jun. 20137 jun. 2013
Konferencens nummer: 21

Konference

Konference21st International Congress on Acoustics
Nummer21
LandCanada
ByMontreal
Periode02/06/201307/06/2013

Fingerprint

acoustic simulation
rooms
Three-dimensional
Simulation
Acoustics
sensory feedback
triangulation
mesh
acquisition
communication
grids

Citer dette

@article{c2a7293b58754c2b8f71ed1c411965e1,
title = "Three-dimensional point-cloud room model in room acoustics simulations",
abstract = "Telepresence applications require communication with the feeling of being together and sharing the same environment. One important task in these applications is to render the acoustics of the distant room for the telepresence system user. This paper presents a fast method for the room geometry acquisition and its representation with a 3D point-cloud model, as well as utilization of such a model for the room acoustics simulations. A room is scanned with a commercially available input device (Kinect for Xbox360) in two different ways; the first one involves the device placed in the middle of the room and rotated around the vertical axis while for the second one the device is moved within the room. Benefits of both approaches were analyzed. The device's depth sensor provides a set of points in a three-dimensional coordinate system which represents scanned surfaces of the room interior. These data are used to build a 3D point-cloud model of the room. Several models are created to meet requirements of different room acoustics simulation algorithms: plane fitting and uniform voxel grid for geometric methods and triangulation mesh for the numerical methods. Advantages of the proposed method over the traditional approaches are discussed.",
author = "Milos Markovic and Olesen, {S{\o}ren Krarup} and Dorte Hammersh{\o}i",
year = "2013",
doi = "10.1121/1.4806371",
language = "English",
volume = "133",
pages = "3532--3532",
journal = "The Journal of the Acoustical Society of America",
issn = "0001-4966",
publisher = "A I P Publishing LLC",
number = "5",

}

Three-dimensional point-cloud room model in room acoustics simulations. / Markovic, Milos; Olesen, Søren Krarup; Hammershøi, Dorte.

I: The Journal of the Acoustical Society of America, Bind 133, Nr. 5, 2013, s. 3532-3532.

Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

TY - ABST

T1 - Three-dimensional point-cloud room model in room acoustics simulations

AU - Markovic, Milos

AU - Olesen, Søren Krarup

AU - Hammershøi, Dorte

PY - 2013

Y1 - 2013

N2 - Telepresence applications require communication with the feeling of being together and sharing the same environment. One important task in these applications is to render the acoustics of the distant room for the telepresence system user. This paper presents a fast method for the room geometry acquisition and its representation with a 3D point-cloud model, as well as utilization of such a model for the room acoustics simulations. A room is scanned with a commercially available input device (Kinect for Xbox360) in two different ways; the first one involves the device placed in the middle of the room and rotated around the vertical axis while for the second one the device is moved within the room. Benefits of both approaches were analyzed. The device's depth sensor provides a set of points in a three-dimensional coordinate system which represents scanned surfaces of the room interior. These data are used to build a 3D point-cloud model of the room. Several models are created to meet requirements of different room acoustics simulation algorithms: plane fitting and uniform voxel grid for geometric methods and triangulation mesh for the numerical methods. Advantages of the proposed method over the traditional approaches are discussed.

AB - Telepresence applications require communication with the feeling of being together and sharing the same environment. One important task in these applications is to render the acoustics of the distant room for the telepresence system user. This paper presents a fast method for the room geometry acquisition and its representation with a 3D point-cloud model, as well as utilization of such a model for the room acoustics simulations. A room is scanned with a commercially available input device (Kinect for Xbox360) in two different ways; the first one involves the device placed in the middle of the room and rotated around the vertical axis while for the second one the device is moved within the room. Benefits of both approaches were analyzed. The device's depth sensor provides a set of points in a three-dimensional coordinate system which represents scanned surfaces of the room interior. These data are used to build a 3D point-cloud model of the room. Several models are created to meet requirements of different room acoustics simulation algorithms: plane fitting and uniform voxel grid for geometric methods and triangulation mesh for the numerical methods. Advantages of the proposed method over the traditional approaches are discussed.

U2 - 10.1121/1.4806371

DO - 10.1121/1.4806371

M3 - Conference abstract in journal

VL - 133

SP - 3532

EP - 3532

JO - The Journal of the Acoustical Society of America

JF - The Journal of the Acoustical Society of America

SN - 0001-4966

IS - 5

ER -