A Radiometric Noise Model for Estimating Geometrical Parameters of 3-D Bodies From Multispectral Images

J.C. Glas; F. van der Heijden

A Radiometric Noise Model for Estimating Geometrical Parameters of 3-D Bodies From Multispectral Images

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Camera images can be used to measure the geometry of man-made objects. An iterative weighted least-squares estimator with knowledge of imaging and reflection models retrieves the geometrical parameters of objects in a 3-D scene from 2-D image projections. We investigate the use of multispectral imagery which allows us to separate diffuse and specular reflection before estimating geometry. We built a multispectral camera measurement system that has been used to capture real images of a cylindrical body. These have been processed to analyse the propagation of radiometric noise from reflection via imaging into reflection component separation. The purpose of this research is the development of a radiometric noise model for use in our geometry estimator.

Original language	English
Title of host publication	Proceedings of MVA '96
Subtitle of host publication	IAPR Workshop on Machine Vision Applications : November 12-14 1996, Tokyo, Japan
Place of Publication	Tokyo, Japan
Publisher	Keio University
Pages	414-417
Number of pages	4
Publication status	Published - 12 Nov 1996
Event	IAPR Workshop on Machine Vision Applications, MVA 1996 - Tokyo, Japan Duration: 12 Nov 1996 → 14 Nov 1996

Workshop

Workshop	IAPR Workshop on Machine Vision Applications, MVA 1996
Country/Territory	Japan
City	Tokyo
Period	12/11/96 → 14/11/96

Keywords

METIS-113416

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title = "A Radiometric Noise Model for Estimating Geometrical Parameters of 3-D Bodies From Multispectral Images",

abstract = "Camera images can be used to measure the geometry of man-made objects. An iterative weighted least-squares estimator with knowledge of imaging and reflection models retrieves the geometrical parameters of objects in a 3-D scene from 2-D image projections. We investigate the use of multispectral imagery which allows us to separate diffuse and specular reflection before estimating geometry. We built a multispectral camera measurement system that has been used to capture real images of a cylindrical body. These have been processed to analyse the propagation of radiometric noise from reflection via imaging into reflection component separation. The purpose of this research is the development of a radiometric noise model for use in our geometry estimator.",

keywords = "METIS-113416",

author = "J.C. Glas and {van der Heijden}, F.",

year = "1996",

month = nov,

day = "12",

language = "English",

pages = "414--417",

booktitle = "Proceedings of MVA '96",

publisher = "Keio University",

address = "Japan",

note = "IAPR Workshop on Machine Vision Applications, MVA 1996 ; Conference date: 12-11-1996 Through 14-11-1996",

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Glas, JC & van der Heijden, F 1996, A Radiometric Noise Model for Estimating Geometrical Parameters of 3-D Bodies From Multispectral Images. in Proceedings of MVA '96 : IAPR Workshop on Machine Vision Applications : November 12-14 1996, Tokyo, Japan. Keio University, Tokyo, Japan, pp. 414-417, IAPR Workshop on Machine Vision Applications, MVA 1996, Tokyo, Japan, 12/11/96.

A Radiometric Noise Model for Estimating Geometrical Parameters of 3-D Bodies From Multispectral Images. / Glas, J.C.; van der Heijden, F.
Proceedings of MVA '96 : IAPR Workshop on Machine Vision Applications : November 12-14 1996, Tokyo, Japan. Tokyo, Japan: Keio University, 1996. p. 414-417.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - A Radiometric Noise Model for Estimating Geometrical Parameters of 3-D Bodies From Multispectral Images

AU - Glas, J.C.

AU - van der Heijden, F.

PY - 1996/11/12

Y1 - 1996/11/12

N2 - Camera images can be used to measure the geometry of man-made objects. An iterative weighted least-squares estimator with knowledge of imaging and reflection models retrieves the geometrical parameters of objects in a 3-D scene from 2-D image projections. We investigate the use of multispectral imagery which allows us to separate diffuse and specular reflection before estimating geometry. We built a multispectral camera measurement system that has been used to capture real images of a cylindrical body. These have been processed to analyse the propagation of radiometric noise from reflection via imaging into reflection component separation. The purpose of this research is the development of a radiometric noise model for use in our geometry estimator.

AB - Camera images can be used to measure the geometry of man-made objects. An iterative weighted least-squares estimator with knowledge of imaging and reflection models retrieves the geometrical parameters of objects in a 3-D scene from 2-D image projections. We investigate the use of multispectral imagery which allows us to separate diffuse and specular reflection before estimating geometry. We built a multispectral camera measurement system that has been used to capture real images of a cylindrical body. These have been processed to analyse the propagation of radiometric noise from reflection via imaging into reflection component separation. The purpose of this research is the development of a radiometric noise model for use in our geometry estimator.

KW - METIS-113416

M3 - Conference contribution

SP - 414

EP - 417

BT - Proceedings of MVA '96

PB - Keio University

CY - Tokyo, Japan

T2 - IAPR Workshop on Machine Vision Applications, MVA 1996

Y2 - 12 November 1996 through 14 November 1996

ER -

A Radiometric Noise Model for Estimating Geometrical Parameters of 3-D Bodies From Multispectral Images

Abstract

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Keywords

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