Gaze-motivated compression of illumination and view dependent textures

Jiří Filip; Michal Haindl; Michael J. Chantler

doi:10.1109/ICPR.2010.217

Gaze-motivated compression of illumination and view dependent textures

Jiří Filip, Michal Haindl, Michael J. Chantler

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

3 Citations (Scopus)

Abstract

Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture statistics. These statistics were then exploited in a pilot illumination and view direction dependent data compression algorithm. Our results showed that taking into account local texture variance can increase compression of current methods more than twofold, while preserving original realistic appearance and allowing fast data reconstruction. © 2010 IEEE.

Original language	English
Title of host publication	Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages	862-865
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2010.217
Publication status	Published - 2010
Event	2010 20th International Conference on Pattern Recognition - Istanbul, Turkey Duration: 23 Aug 2010 → 26 Aug 2010

Conference

Conference	2010 20th International Conference on Pattern Recognition
Abbreviated title	ICPR 2010
Country/Territory	Turkey
City	Istanbul
Period	23/08/10 → 26/08/10

Keywords

BTF
Compression
Eye-tracking
Texture
Visual psychophysics

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10.1109/ICPR.2010.217

Cite this

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title = "Gaze-motivated compression of illumination and view dependent textures",

abstract = "Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture statistics. These statistics were then exploited in a pilot illumination and view direction dependent data compression algorithm. Our results showed that taking into account local texture variance can increase compression of current methods more than twofold, while preserving original realistic appearance and allowing fast data reconstruction. {\textcopyright} 2010 IEEE.",

keywords = "BTF, Compression, Eye-tracking, Texture, Visual psychophysics",

author = "Ji{\v r}{\'i} Filip and Michal Haindl and Chantler, {Michael J.}",

year = "2010",

doi = "10.1109/ICPR.2010.217",

language = "English",

isbn = "9780769541099",

pages = "862--865",

booktitle = "Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010",

note = "2010 20th International Conference on Pattern Recognition, ICPR 2010 ; Conference date: 23-08-2010 Through 26-08-2010",

}

TY - GEN

T1 - Gaze-motivated compression of illumination and view dependent textures

AU - Filip, Jiří

AU - Haindl, Michal

AU - Chantler, Michael J.

PY - 2010

Y1 - 2010

N2 - Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture statistics. These statistics were then exploited in a pilot illumination and view direction dependent data compression algorithm. Our results showed that taking into account local texture variance can increase compression of current methods more than twofold, while preserving original realistic appearance and allowing fast data reconstruction. © 2010 IEEE.

AB - Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture statistics. These statistics were then exploited in a pilot illumination and view direction dependent data compression algorithm. Our results showed that taking into account local texture variance can increase compression of current methods more than twofold, while preserving original realistic appearance and allowing fast data reconstruction. © 2010 IEEE.

KW - BTF

KW - Compression

KW - Eye-tracking

KW - Texture

KW - Visual psychophysics

UR - http://www.scopus.com/inward/record.url?scp=78149474745&partnerID=8YFLogxK

U2 - 10.1109/ICPR.2010.217

DO - 10.1109/ICPR.2010.217

M3 - Conference contribution

SN - 9780769541099

SP - 862

EP - 865

BT - Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010

T2 - 2010 20th International Conference on Pattern Recognition

Y2 - 23 August 2010 through 26 August 2010

ER -

Gaze-motivated compression of illumination and view dependent textures

Abstract

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Keywords

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