On the Structural Line Segment Model

Ori Davidov; Alexander Goldenshluger; Roman Reidman

doi:10.1007/978-94-017-3552-0_22

On the Structural Line Segment Model

Ori Davidov, Alexander Goldenshluger, Roman Reidman

Department of Statistics

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

Abstract

We introduce and study the structural line segment model, which is motivated by applications in the field of computer vision. The method of moments estimator (MME) is investigated under three different sets of assumptions. We derive the asymptotic distribution of the MME and study its performance numerically.

Original language	English
Title of host publication	Total Least Squares and Errors-in-Variables Modeling
Subtitle of host publication	Analysis, Algorithms and Applications
Editors	Sabine Van Huffel, Philippe Lemmerling
Place of Publication	Dordrecht
Publisher	Springer
Chapter	22
Pages	251-260
Number of pages	10
ISBN (Electronic)	978-94-017-3552-0
ISBN (Print)	978-90-481-5957-4
DOIs	https://doi.org/10.1007/978-94-017-3552-0_22
State	Published - 2002

Access to Document

10.1007/978-94-017-3552-0_22

Cite this

@inbook{beeac4c4a1044b6f881f6b3680f11ba1,

title = "On the Structural Line Segment Model",

abstract = "We introduce and study the structural line segment model, which is motivated by applications in the field of computer vision. The method of moments estimator (MME) is investigated under three different sets of assumptions. We derive the asymptotic distribution of the MME and study its performance numerically.",

author = "Ori Davidov and Alexander Goldenshluger and Roman Reidman",

year = "2002",

doi = "10.1007/978-94-017-3552-0_22",

language = "English",

isbn = "978-90-481-5957-4",

pages = "251--260",

editor = "{Van Huffel}, Sabine and Philippe Lemmerling",

booktitle = "Total Least Squares and Errors-in-Variables Modeling",

publisher = "Springer",

address = "Netherlands",

}

TY - CHAP

T1 - On the Structural Line Segment Model

AU - Davidov, Ori

AU - Goldenshluger, Alexander

AU - Reidman, Roman

PY - 2002

Y1 - 2002

N2 - We introduce and study the structural line segment model, which is motivated by applications in the field of computer vision. The method of moments estimator (MME) is investigated under three different sets of assumptions. We derive the asymptotic distribution of the MME and study its performance numerically.

AB - We introduce and study the structural line segment model, which is motivated by applications in the field of computer vision. The method of moments estimator (MME) is investigated under three different sets of assumptions. We derive the asymptotic distribution of the MME and study its performance numerically.

U2 - 10.1007/978-94-017-3552-0_22

DO - 10.1007/978-94-017-3552-0_22

M3 - Chapter

SN - 978-90-481-5957-4

SP - 251

EP - 260

BT - Total Least Squares and Errors-in-Variables Modeling

A2 - Van Huffel, Sabine

A2 - Lemmerling, Philippe

PB - Springer

CY - Dordrecht

ER -

On the Structural Line Segment Model

Abstract

Access to Document

Fingerprint

Cite this