Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry

Emre KOC; Selim BALCISOY

doi:10.1587/transinf.E97.D.1974

Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry

Emre KOC, Selim BALCISOY

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Light source estimation and virtual lighting must be believable in terms of appearance and correctness in augmented reality scenes. As a result of illumination complexity in an outdoor scene, realistic lighting for augmented reality is still a challenging problem. In this paper, we propose a framework based on an estimation of environmental lighting from well-defined objects, specifically human faces. The method is tuned for outdoor use, and the algorithm is further enhanced to illuminate virtual objects exposed to direct sunlight. Our model can be integrated into existing mobile augmented reality frameworks to enhance visual perception.

Publication: IEICE TRANSACTIONS on Information Vol.E97-D No.8 pp.1974-1982

Publication Date: 2014/08/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E97.D.1974

Type of Manuscript: Special Section PAPER (Special Section on Cyberworlds)

Category: Augmented Reality

Authors

Emre KOC
Sabanci University
Selim BALCISOY
Sabanci University

Keyword

Mobile Augmented Reality, Outdoor Illumination, Real-time Rendering

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Emre KOC, Selim BALCISOY, "Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 8, pp. 1974-1982, August 2014, doi: 10.1587/transinf.E97.D.1974.
Abstract: Light source estimation and virtual lighting must be believable in terms of appearance and correctness in augmented reality scenes. As a result of illumination complexity in an outdoor scene, realistic lighting for augmented reality is still a challenging problem. In this paper, we propose a framework based on an estimation of environmental lighting from well-defined objects, specifically human faces. The method is tuned for outdoor use, and the algorithm is further enhanced to illuminate virtual objects exposed to direct sunlight. Our model can be integrated into existing mobile augmented reality frameworks to enhance visual perception.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E97.D.1974/_p

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@ARTICLE{e97-d_8_1974,
author={Emre KOC, Selim BALCISOY, },
journal={IEICE TRANSACTIONS on Information},
title={Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry},
year={2014},
volume={E97-D},
number={8},
pages={1974-1982},
abstract={Light source estimation and virtual lighting must be believable in terms of appearance and correctness in augmented reality scenes. As a result of illumination complexity in an outdoor scene, realistic lighting for augmented reality is still a challenging problem. In this paper, we propose a framework based on an estimation of environmental lighting from well-defined objects, specifically human faces. The method is tuned for outdoor use, and the algorithm is further enhanced to illuminate virtual objects exposed to direct sunlight. Our model can be integrated into existing mobile augmented reality frameworks to enhance visual perception.},
keywords={},
doi={10.1587/transinf.E97.D.1974},
ISSN={1745-1361},
month={August},}

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TY - JOUR
TI - Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry
T2 - IEICE TRANSACTIONS on Information
SP - 1974
EP - 1982
AU - Emre KOC
AU - Selim BALCISOY
PY - 2014
DO - 10.1587/transinf.E97.D.1974
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2014
AB - Light source estimation and virtual lighting must be believable in terms of appearance and correctness in augmented reality scenes. As a result of illumination complexity in an outdoor scene, realistic lighting for augmented reality is still a challenging problem. In this paper, we propose a framework based on an estimation of environmental lighting from well-defined objects, specifically human faces. The method is tuned for outdoor use, and the algorithm is further enhanced to illuminate virtual objects exposed to direct sunlight. Our model can be integrated into existing mobile augmented reality frameworks to enhance visual perception.
ER -