Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments

Daniel G. Aliaga; Thomas Funkhouser; Dimah Yanovsky; Ingrid Carlbom

doi:10.1109/MCG.2003.1242379

Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments

Daniel G. Aliaga, Thomas Funkhouser, Dimah Yanovsky, Ingrid Carlbom

Computer Science

Research output: Contribution to journal › Review article › peer-review

30 Scopus citations

Abstract

The article describes the a dense sampling approach for rendering large indoor environments. A sea of images is a collection of images captured every couple of inches in a large environment. The acquired data are compressed into a multiresolution hierarchy so users can access it efficiently for continuous sequences of view-points.

Original language	English (US)
Pages (from-to)	22-30
Number of pages	9
Journal	IEEE Computer Graphics and Applications
Volume	23
Issue number	6
DOIs	https://doi.org/10.1109/MCG.2003.1242379
State	Published - Nov 2003

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

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10.1109/MCG.2003.1242379

Cite this

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title = "Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments",

abstract = "The article describes the a dense sampling approach for rendering large indoor environments. A sea of images is a collection of images captured every couple of inches in a large environment. The acquired data are compressed into a multiresolution hierarchy so users can access it efficiently for continuous sequences of view-points.",

author = "Aliaga, \{Daniel G.\} and Thomas Funkhouser and Dimah Yanovsky and Ingrid Carlbom",

year = "2003",

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language = "English (US)",

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journal = "IEEE Computer Graphics and Applications",

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T2 - A Dense Sampling Approach for Rendering Large Indoor Environments

AU - Aliaga, Daniel G.

AU - Funkhouser, Thomas

AU - Yanovsky, Dimah

AU - Carlbom, Ingrid

PY - 2003/11

Y1 - 2003/11

N2 - The article describes the a dense sampling approach for rendering large indoor environments. A sea of images is a collection of images captured every couple of inches in a large environment. The acquired data are compressed into a multiresolution hierarchy so users can access it efficiently for continuous sequences of view-points.

AB - The article describes the a dense sampling approach for rendering large indoor environments. A sea of images is a collection of images captured every couple of inches in a large environment. The acquired data are compressed into a multiresolution hierarchy so users can access it efficiently for continuous sequences of view-points.

UR - https://www.scopus.com/pages/publications/0242493650

UR - https://www.scopus.com/inward/citedby.url?scp=0242493650&partnerID=8YFLogxK

U2 - 10.1109/MCG.2003.1242379

DO - 10.1109/MCG.2003.1242379

M3 - Review article

AN - SCOPUS:0242493650

SN - 0272-1716

VL - 23

SP - 22

EP - 30

JO - IEEE Computer Graphics and Applications

JF - IEEE Computer Graphics and Applications

IS - 6

ER -

Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments

Abstract

All Science Journal Classification (ASJC) codes

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