Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters

Shunsuke Yamaki; Masahide Abet; Masayuki Kawamata; Makoto Yoshizawa

doi:10.23919/APSIPA.2018.8659705

Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters

Shunsuke Yamaki, Masahide Abet, Masayuki Kawamata, Makoto Yoshizawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper proposes performance evaluation of phase-only correlation (POC) functions using signal-to-noise ratio (SNR) and peak-to correlation energy (PCE) from the viewpoint of correlation filters. Correlation functions can be thought as the output from the correlation filters. Maximizing SNR leads to matched filters, whereas maximizing PCE results in the inverse filters. We also derive the general expressions of SNR and PCE of the POC functions based on directional statistics. SNR is expressed by simple fractional function of circular variance. PCE is simply given by squared peak value of the POC functions, and its expectation can be expressed in terms of circular variance.

Original language	English
Title of host publication	2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1361-1364
Number of pages	4
ISBN (Electronic)	9789881476852
DOIs	https://doi.org/10.23919/APSIPA.2018.8659705
Publication status	Published - 2019 Mar 4
Event	10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, United States Duration: 2018 Nov 12 → 2018 Nov 15

Publication series

Name	2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

Conference

Conference	10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
Country	United States
City	Honolulu
Period	18/11/12 → 18/11/15

ASJC Scopus subject areas

Information Systems

Access to Document

10.23919/APSIPA.2018.8659705

Fingerprint Dive into the research topics of 'Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters'. Together they form a unique fingerprint.

Cite this

Yamaki, S., Abet, M., Kawamata, M., & Yoshizawa, M. (2019). Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters. In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings (pp. 1361-1364). [8659705] (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APSIPA.2018.8659705

Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters. / Yamaki, Shunsuke; Abet, Masahide; Kawamata, Masayuki; Yoshizawa, Makoto.

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1361-1364 8659705 (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamaki, S, Abet, M, Kawamata, M & Yoshizawa, M 2019, Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters. in 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings., 8659705, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1361-1364, 10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018, Honolulu, United States, 18/11/12. https://doi.org/10.23919/APSIPA.2018.8659705

Yamaki S, Abet M, Kawamata M, Yoshizawa M. Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters. In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1361-1364. 8659705. (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings). https://doi.org/10.23919/APSIPA.2018.8659705

Yamaki, Shunsuke ; Abet, Masahide ; Kawamata, Masayuki ; Yoshizawa, Makoto. / Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters. 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1361-1364 (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings).

@inproceedings{72dc771726c84842bcc3e77c0b1abb1a,

title = "Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters",

abstract = "This paper proposes performance evaluation of phase-only correlation (POC) functions using signal-to-noise ratio (SNR) and peak-to correlation energy (PCE) from the viewpoint of correlation filters. Correlation functions can be thought as the output from the correlation filters. Maximizing SNR leads to matched filters, whereas maximizing PCE results in the inverse filters. We also derive the general expressions of SNR and PCE of the POC functions based on directional statistics. SNR is expressed by simple fractional function of circular variance. PCE is simply given by squared peak value of the POC functions, and its expectation can be expressed in terms of circular variance.",

author = "Shunsuke Yamaki and Masahide Abet and Masayuki Kawamata and Makoto Yoshizawa",

year = "2019",

month = mar,

day = "4",

doi = "10.23919/APSIPA.2018.8659705",

language = "English",

series = "2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1361--1364",

booktitle = "2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings",

note = "10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 ; Conference date: 12-11-2018 Through 15-11-2018",

}

TY - GEN

T1 - Performance Evaluation of Phase-Only Correlation Functions from the Viewpoint of Correlation Filters

AU - Yamaki, Shunsuke

AU - Abet, Masahide

AU - Kawamata, Masayuki

AU - Yoshizawa, Makoto

PY - 2019/3/4

Y1 - 2019/3/4

N2 - This paper proposes performance evaluation of phase-only correlation (POC) functions using signal-to-noise ratio (SNR) and peak-to correlation energy (PCE) from the viewpoint of correlation filters. Correlation functions can be thought as the output from the correlation filters. Maximizing SNR leads to matched filters, whereas maximizing PCE results in the inverse filters. We also derive the general expressions of SNR and PCE of the POC functions based on directional statistics. SNR is expressed by simple fractional function of circular variance. PCE is simply given by squared peak value of the POC functions, and its expectation can be expressed in terms of circular variance.

AB - This paper proposes performance evaluation of phase-only correlation (POC) functions using signal-to-noise ratio (SNR) and peak-to correlation energy (PCE) from the viewpoint of correlation filters. Correlation functions can be thought as the output from the correlation filters. Maximizing SNR leads to matched filters, whereas maximizing PCE results in the inverse filters. We also derive the general expressions of SNR and PCE of the POC functions based on directional statistics. SNR is expressed by simple fractional function of circular variance. PCE is simply given by squared peak value of the POC functions, and its expectation can be expressed in terms of circular variance.

UR - http://www.scopus.com/inward/record.url?scp=85063473849&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063473849&partnerID=8YFLogxK

U2 - 10.23919/APSIPA.2018.8659705

DO - 10.23919/APSIPA.2018.8659705

M3 - Conference contribution

AN - SCOPUS:85063473849

T3 - 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

SP - 1361

EP - 1364

BT - 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018

Y2 - 12 November 2018 through 15 November 2018

ER -