Forskning ved Københavns Universitet - Københavns Universitet

Forside

Performance Evaluation of Tree Object Matching

Publikation: Bog/antologi/afhandling/rapportRapportForskning

Standard

Performance Evaluation of Tree Object Matching. / Somchaipeng, Kerawit; Sporring, Jon; Kreiborg, Sven; Johansen, Peter.

2005.

Publikation: Bog/antologi/afhandling/rapportRapportForskning

Harvard

Somchaipeng, K, Sporring, J, Kreiborg, S & Johansen, P 2005, Performance Evaluation of Tree Object Matching.

APA

Somchaipeng, K., Sporring, J., Kreiborg, S., & Johansen, P. (2005). Performance Evaluation of Tree Object Matching.

Vancouver

Somchaipeng K, Sporring J, Kreiborg S, Johansen P. Performance Evaluation of Tree Object Matching. 2005.

Author

Somchaipeng, Kerawit ; Sporring, Jon ; Kreiborg, Sven ; Johansen, Peter. / Performance Evaluation of Tree Object Matching. 2005.

Bibtex

@book{39fd3fd074c111dbbee902004c4f4f50,
title = "Performance Evaluation of Tree Object Matching",
abstract = "Multi-Scale Singularity Trees (MSSTs) represents the deep structure of images in scale-space and provide both the connections between image features at different scales and their strengths. In this report we present and evaluate an algorithm that exploits the MSSTs for image matching. Two versions of the algorithm is presented: an exact and an approximation. Several experiments are conducted to empirically evaluate the MSST matching algorithm under image distortions. Further, the performance of the MSST matching algorithm is measured on three databases: the ORL face database, magazine covers, and the COIL database. Finally the performance is compared with algorithms based on the Scale Invariant Feature Transform (SIFT), and the Position of Catastrophes (CAT).",
author = "Kerawit Somchaipeng and Jon Sporring and Sven Kreiborg and Peter Johansen",
note = "EU Report, IST-2001-35443, Deliverable 33 3DLab, School of Dentistry, University of Copenhagen",
year = "2005",
language = "English",

}

RIS

TY - RPRT

T1 - Performance Evaluation of Tree Object Matching

AU - Somchaipeng, Kerawit

AU - Sporring, Jon

AU - Kreiborg, Sven

AU - Johansen, Peter

N1 - EU Report, IST-2001-35443, Deliverable 33 3DLab, School of Dentistry, University of Copenhagen

PY - 2005

Y1 - 2005

N2 - Multi-Scale Singularity Trees (MSSTs) represents the deep structure of images in scale-space and provide both the connections between image features at different scales and their strengths. In this report we present and evaluate an algorithm that exploits the MSSTs for image matching. Two versions of the algorithm is presented: an exact and an approximation. Several experiments are conducted to empirically evaluate the MSST matching algorithm under image distortions. Further, the performance of the MSST matching algorithm is measured on three databases: the ORL face database, magazine covers, and the COIL database. Finally the performance is compared with algorithms based on the Scale Invariant Feature Transform (SIFT), and the Position of Catastrophes (CAT).

AB - Multi-Scale Singularity Trees (MSSTs) represents the deep structure of images in scale-space and provide both the connections between image features at different scales and their strengths. In this report we present and evaluate an algorithm that exploits the MSSTs for image matching. Two versions of the algorithm is presented: an exact and an approximation. Several experiments are conducted to empirically evaluate the MSST matching algorithm under image distortions. Further, the performance of the MSST matching algorithm is measured on three databases: the ORL face database, magazine covers, and the COIL database. Finally the performance is compared with algorithms based on the Scale Invariant Feature Transform (SIFT), and the Position of Catastrophes (CAT).

M3 - Report

BT - Performance Evaluation of Tree Object Matching

ER -

ID: 56562