DocumentCode
3253156
Title
Detection of symmetric features in images
Author
Horak, Karel
Author_Institution
Dept. of Control & Instrum., Brno Univ. of Technol., Brno, Czech Republic
fYear
2013
fDate
2-4 July 2013
Firstpage
895
Lastpage
899
Abstract
Features detection plays a significant role in many computer vision tasks. There exist a plenty of various methods for features detection in an image processing domain. Symmetric features form a substantial class of them which takes an advantage of robust approach and fast implementation. In this paper a basic concept of a mirror and rotational symmetry is introduced and several implementation aspects are discussed. Symmetry detection process is transparently compared to the selected standard approach and results are demonstrated on the rotational symmetry task.
Keywords
computer vision; feature extraction; mirrors; computer vision; fast implementation; feature detection; image processing domain; mirror; robust approach; rotational symmetry; symmetric features; Computer vision; Equations; Feature extraction; Image edge detection; Mirrors; Robustness; Transforms; Feature point; Mirror Symmetry; Point of Interest; Rotational Symmetry; Symmetry;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
Conference_Location
Rome
Print_ISBN
978-1-4799-0402-0
Type
conf
DOI
10.1109/TSP.2013.6614069
Filename
6614069
Link To Document