DocumentCode :
2347034
Title :
Object Recognition using Fourier Descriptors: Some Experiments and Observations
Author :
Sarfraz, M.
Author_Institution :
Dept. of Inf. & Comput. Sci., King Fahd Univ. of Pet. & Miner., Dhahran
fYear :
2006
fDate :
26-28 July 2006
Firstpage :
281
Lastpage :
286
Abstract :
In many image analysis and computer vision applications, object recognition is the ultimate goal. This work presents study and experimentation for object recognition when isolated objects are under discussion. The circumstances of similarity transformations, presence of noise, and occlusion have been included as the part of the study. For simplicity, instead of objects, outline of the objects have been used for the whole process of the recognition. Fourier descriptors have been used as features of the objects. Various similarity measures have been used and compared for recognition. The test objects are matched with the model objects in database and the object with the least similarity measure is taken as the recognized object. A detailed experimental study has been made under different conditions and circumstances
Keywords :
Fourier analysis; computer vision; feature extraction; image matching; object recognition; Fourier descriptor; computer vision; image matching; object feature; object recognition; occlusion; similarity transformation; Application software; Computer science; Computer vision; Image analysis; Image edge detection; Image recognition; Minerals; Object recognition; Petroleum; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualisation, 2006 International Conference on
Conference_Location :
Sydney, Qld.
Print_ISBN :
0-7695-2606-3
Type :
conf
DOI :
10.1109/CGIV.2006.67
Filename :
1663805
Link To Document :
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