Influence of image transformations and quality degradations on SURF detector efficiency

Author

Szczuko, P.

Author_Institution

Multimedia Syst. Dept., Gdansk Univ. of Technol., Gdansk, Poland

fYear

2013

fDate

26-28 Sept. 2013

Firstpage

285

Lastpage

290

Abstract

A method for task-oriented examination of SURF keypoint detector accuracy is presented in the paper. It consists of generating test images, based on a given exemplar, processed by affine transformations: random rotation and scaling, and varying degree of degradations: darkening, blurring, noising, and compression. Details of applied degradation procedure are presented, followed by essentials of SURF-based images matching. A distance metric is adapted for SURF accuracy assessment. It consists of calculation of Euclidean distances between anchor points in the exemplar and degraded images. Finally, results of tests are presented, and impact of degradation level on SURF accuracy is discussed.

Keywords

affine transforms; distance measurement; image coding; image denoising; image matching; image restoration; Euclidean distances; SURF accuracy assessment; SURF detector efficiency; SURF keypoint detector accuracy; SURF-based images matching; affine transformations; degradation procedure; degraded images; distance metric; image blurring; image compression; image darkening; image denoising; image transformations; quality degradations; random rotation; random scaling; task-oriented examination; test images; Image coding; SURF; affine transformations; image descriptors; validation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013

Conference_Location

Poznan

ISSN

2326-0262

Electronic_ISBN

2326-0262

Type

conf

Filename

6710641