A scale invariant covariance structure on jet space

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

A scale invariant covariance structure on jet space. / Pedersen, Kim Steenstrup; Loog, Marco; Markussen, Bo.

Deep Structure, Singularities, and Computer Vision. <Forlag uden navn>, 2005. s. 12-23 (Lecture notes in computer science, Bind 3753/2005).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Pedersen, KS, Loog, M & Markussen, B 2005, A scale invariant covariance structure on jet space. i Deep Structure, Singularities, and Computer Vision. <Forlag uden navn>, Lecture notes in computer science, bind 3753/2005, s. 12-23, First International Workshop in Deep Structure, Singularities, and Computer Vision (DSSCV), Maastricht, Holland, 29/11/2010. https://doi.org/10.1007/11577812_2

APA

Pedersen, K. S., Loog, M., & Markussen, B. (2005). A scale invariant covariance structure on jet space. I Deep Structure, Singularities, and Computer Vision (s. 12-23). <Forlag uden navn>. Lecture notes in computer science Bind 3753/2005 https://doi.org/10.1007/11577812_2

Vancouver

Pedersen KS, Loog M, Markussen B. A scale invariant covariance structure on jet space. I Deep Structure, Singularities, and Computer Vision. <Forlag uden navn>. 2005. s. 12-23. (Lecture notes in computer science, Bind 3753/2005). https://doi.org/10.1007/11577812_2

Author

Pedersen, Kim Steenstrup ; Loog, Marco ; Markussen, Bo. / A scale invariant covariance structure on jet space. Deep Structure, Singularities, and Computer Vision. <Forlag uden navn>, 2005. s. 12-23 (Lecture notes in computer science, Bind 3753/2005).

Bibtex

@inproceedings{e7e300504f2911dd8d9f000ea68e967b,
title = "A scale invariant covariance structure on jet space",
abstract = "This paper considers scale invariance of statistical image models. We study statistical scale invariance of the covariance structure of jet space under scale space blurring and derive the necessary structure and conditions of the jet covariance matrix in order for it to be scale invariant. As part of the derivation, we introduce a blurring operator At that acts on jet space contrary to doing spatial filtering and a scaling operator Ss. The stochastic Brownian image model is an example of a class of functions which are scale invariant with respect to the operators At and Ss. This paper also includes empirical results where we estimate the scale invariant jet covariance of natural images and show that it resembles that of Brownian images.",
author = "Pedersen, {Kim Steenstrup} and Marco Loog and Bo Markussen",
year = "2005",
doi = "10.1007/11577812_2",
language = "English",
isbn = "978-3-540-29836-6",
series = "Lecture notes in computer science",
publisher = "<Forlag uden navn>",
pages = "12--23",
booktitle = "Deep Structure, Singularities, and Computer Vision",
note = "null ; Conference date: 29-11-2010",

}

RIS

TY - GEN

T1 - A scale invariant covariance structure on jet space

AU - Pedersen, Kim Steenstrup

AU - Loog, Marco

AU - Markussen, Bo

N1 - Conference code: 1

PY - 2005

Y1 - 2005

N2 - This paper considers scale invariance of statistical image models. We study statistical scale invariance of the covariance structure of jet space under scale space blurring and derive the necessary structure and conditions of the jet covariance matrix in order for it to be scale invariant. As part of the derivation, we introduce a blurring operator At that acts on jet space contrary to doing spatial filtering and a scaling operator Ss. The stochastic Brownian image model is an example of a class of functions which are scale invariant with respect to the operators At and Ss. This paper also includes empirical results where we estimate the scale invariant jet covariance of natural images and show that it resembles that of Brownian images.

AB - This paper considers scale invariance of statistical image models. We study statistical scale invariance of the covariance structure of jet space under scale space blurring and derive the necessary structure and conditions of the jet covariance matrix in order for it to be scale invariant. As part of the derivation, we introduce a blurring operator At that acts on jet space contrary to doing spatial filtering and a scaling operator Ss. The stochastic Brownian image model is an example of a class of functions which are scale invariant with respect to the operators At and Ss. This paper also includes empirical results where we estimate the scale invariant jet covariance of natural images and show that it resembles that of Brownian images.

U2 - 10.1007/11577812_2

DO - 10.1007/11577812_2

M3 - Article in proceedings

SN - 978-3-540-29836-6

T3 - Lecture notes in computer science

SP - 12

EP - 23

BT - Deep Structure, Singularities, and Computer Vision

PB - <Forlag uden navn>

Y2 - 29 November 2010

ER -

ID: 4979743