Object Recognition: Performance evaluation using SIFT and SURF

Object Recognition has become one of the most attractive areas of research for most of the scientists over the past few decades. Object recognition has extensive applications in numerous areas of interest. In this paper, the importance of object recognition in different applications has been highlig...

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Bibliographic Details
Published in:International journal of computer applications 2013-01, Vol.75 (3), p.39-47
Main Authors: Rani, Ritu, Grewal, Surender Kumar, Panwar, Kuldeep
Format: Article
Language:English
Subjects:
Invariants
Object recognition
Performance evaluation
Scientists
Surf
Transforms
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Summary:Object Recognition has become one of the most attractive areas of research for most of the scientists over the past few decades. Object recognition has extensive applications in numerous areas of interest. In this paper, the importance of object recognition in different applications has been highlighted. The very famous and impressive technique by David Lowe which is Scale Invariant Feature Transform (SIFT) has been implemented for object recognition and an attempt has been done to compare the results obtained from it with the another very important technique called Speeded-Up Robust Feature Transform (SURF) to conclude with certain interesting results.
ISSN:0975-8887
0975-8887
DOI:10.5120/13094-0375