Volumetric representation for sparse multi-views

N Anantrasirichai; CN Canagarajah; DW Redmill; DR Bull

doi:10.1109/ICIP.2006.312545

Volumetric representation for sparse multi-views

N Anantrasirichai, CN Canagarajah, DW Redmill, DR Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

4 Citations (Scopus)

380 Downloads (Pure)

Abstract

In this paper, we propose a novel volumetric representation for a sparse set of calibrated multi-view images of a non-Lambertian scene. The depth map of each reference view is registered into a volume and a simple algorithm to shape the volume is introduced. Particular colours are defined for each voxel to render a smooth and realistic image. Synthesized results demonstrate the good performance with the proposed scheme, both for parallel-camera and non-parallel-camera geometries.

Translated title of the contribution	Volumetric representation for sparse multi-views
Original language	English
Title of host publication	2006 IEEE International Conference on Image Processing, Atlanta, GA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1221 - 1224
Number of pages	4
ISBN (Print)	1424404819
DOIs	https://doi.org/10.1109/ICIP.2006.312545
Publication status	Published - Oct 2006
Event	International Conference on Image Processing - Atlanta, United States Duration: 1 Oct 2006 → …

Conference

Conference	International Conference on Image Processing
Country/Territory	United States
City	Atlanta
Period	1/10/06 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2006 IEEE. Reprinted from IEEE International Conference on Image Processing, 2006 (ICIP 2006).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

three-dimensional vision
image synthesis

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10.1109/ICIP.2006.312545

Anantrasirichai IEEE ICIP 2006Accepted author manuscript, 4.64 MB

http://hdl.handle.net/1983/1325

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title = "Volumetric representation for sparse multi-views",

abstract = "In this paper, we propose a novel volumetric representation for a sparse set of calibrated multi-view images of a non-Lambertian scene. The depth map of each reference view is registered into a volume and a simple algorithm to shape the volume is introduced. Particular colours are defined for each voxel to render a smooth and realistic image. Synthesized results demonstrate the good performance with the proposed scheme, both for parallel-camera and non-parallel-camera geometries.",

keywords = "three-dimensional vision, image synthesis",

author = "N Anantrasirichai and CN Canagarajah and DW Redmill and DR Bull",

note = "Rose publication type: Conference contribution Terms of use: Copyright {\textcopyright} 2006 IEEE. Reprinted from IEEE International Conference on Image Processing, 2006 (ICIP 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; International Conference on Image Processing ; Conference date: 01-10-2006",

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month = oct,

doi = "10.1109/ICIP.2006.312545",

language = "English",

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booktitle = "2006 IEEE International Conference on Image Processing, Atlanta, GA",

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Anantrasirichai, N, Canagarajah, CN, Redmill, DW & Bull, DR 2006, Volumetric representation for sparse multi-views. in 2006 IEEE International Conference on Image Processing, Atlanta, GA. Institute of Electrical and Electronics Engineers (IEEE), pp. 1221 - 1224, International Conference on Image Processing, Atlanta, United States, 1/10/06. https://doi.org/10.1109/ICIP.2006.312545

Volumetric representation for sparse multi-views. / Anantrasirichai, N; Canagarajah, CN; Redmill, DW et al.
2006 IEEE International Conference on Image Processing, Atlanta, GA. Institute of Electrical and Electronics Engineers (IEEE), 2006. p. 1221 - 1224.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Canagarajah, CN

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AU - Bull, DR

N1 - Rose publication type: Conference contribution Terms of use: Copyright © 2006 IEEE. Reprinted from IEEE International Conference on Image Processing, 2006 (ICIP 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2006/10

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AB - In this paper, we propose a novel volumetric representation for a sparse set of calibrated multi-view images of a non-Lambertian scene. The depth map of each reference view is registered into a volume and a simple algorithm to shape the volume is introduced. Particular colours are defined for each voxel to render a smooth and realistic image. Synthesized results demonstrate the good performance with the proposed scheme, both for parallel-camera and non-parallel-camera geometries.

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KW - image synthesis

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M3 - Conference Contribution (Conference Proceeding)

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PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - International Conference on Image Processing

Y2 - 1 October 2006

ER -

Volumetric representation for sparse multi-views

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