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PCA based modifi cation of SIFT-like methods for object class recognition

PCA based modifi cation of SIFT-like methods for object class recognition
File Size:
202.88 kB
Author:
Agnieszka Owczarek
Email:
agnieszka[dot]jadwiga[dot]owczarek[at]p[dot]lodz[dot]pl
Date:
13 August 2013
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Abstract: This paper discusses a novel PCA based modifi cation of standard SIFT and PCA-SIFT algorithms for the purpose of object class recognition. New descriptors intended to be simultaneously distinctive enough to describe the diff erence between features belonging to separate categories and general enough to capture the variations among features from the same class are proposed. Th e experimental results, gained for a test database, showing the reliability of introduced approach are presented.

Keywords: object recognition, principle component analysis, SIFT

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BibTeX:

@article{Owczarek2011,
  author = {Agnieszka Owczarek},
  title = {PCA based modifi cation of SIFT-like methods for object class recognition},
  journal = {Challenges of Modern Technology},
  year = {2011},
  volume = {2},
  number = {1},
  pages = {23-26},
  url = {http://www.journal.young-scientists.eu/index.php/isuues/file/7-pca-based-modifi-cation-of-sift-like-methods-for-object-class-recognition}
}
 
 

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