CFP last date
20 December 2024
Reseach Article

Shape based Object Recognition in Images: A Review

by Garima Sharma, Abhishek Gupta, Ravi Malik
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 21
Year of Publication: 2012
Authors: Garima Sharma, Abhishek Gupta, Ravi Malik
10.5120/9405-3684

Garima Sharma, Abhishek Gupta, Ravi Malik . Shape based Object Recognition in Images: A Review. International Journal of Computer Applications. 58, 21 ( November 2012), 8-11. DOI=10.5120/9405-3684

@article{ 10.5120/9405-3684,
author = { Garima Sharma, Abhishek Gupta, Ravi Malik },
title = { Shape based Object Recognition in Images: A Review },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 21 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number21/9405-3684/ },
doi = { 10.5120/9405-3684 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:03:06.124032+05:30
%A Garima Sharma
%A Abhishek Gupta
%A Ravi Malik
%T Shape based Object Recognition in Images: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 21
%P 8-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Object recognition is gaining its importance in many fields especially in the field of surveillance. Recognizing objects is much more than just detecting lines, colors or shapes. Rather it requires a large amount of background knowledge. Recognition by components theory by Irving Biederman says that object can be recognized with the help of geons. Object recognition mostly focuses on the viewpoint variations.

References
  1. Ferrari V, Jurie F, Schmid C,"From images to shape models for object detection" International Journal of Computer Vision, 87(3), 284-303,2010.
  2. Toshev A, Taskar B, Daniilidis K," Object detection via boundary structure segmentation" IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2010.
  3. Gu C, Lim J, Arbelaez P, Malik J," Recognition using regions"IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2009.
  4. Ming-Hsuan Yang "Object Recognition" Encyclopedia of Database Systems (eds. Ling Liu and M. Tamer Ozsu), pp. 1936-1939, 2009.
  5. Peter M. Roth and Martin Winter," survey of appearance-based methods for object recognition" Technical Report ICG{TR{01/08 Graz, January 15, 2008.
  6. Ferrari V, Jurie F, Schmid C ,"Accurate object detection with deformable shape models learnt from images" IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2007.
  7. M. Anji Reddy, Y. Hari Shankar "Textbook of Digital Image Processing", copyright © 2006, BS Publications.
  8. Thomas J. Palmeri* and Isabel Gauthier* "Visual object understanding" Volume 5 | April 2004 | © 2004 Nature Publishing Group
  9. Serge Belongie, Jitendra Malik, and Jan Puzicha. Shape matching and object recognition using shape contexts. IEEE Trans. on Pattern Analysis and Machine Intelligence, 24:509-522, 2002.
  10. Pourang Irani, Colin Ware, "Diagrams Based on Structural Object Perception", Faculty of Computer Science, University of New Brunswick Published in proceedings of the working conference on Advanced visual interfaces ACM, New York, © 2000.
  11. Shimon Edelman "Theories of representation and object recognition chapter 2- Representation and recognition in vision" © 1999 the MIT press
  12. Shimon Edelman "Computational theories of object recognition" School of Cognitive and Computing Sciences University of Sussex June 1997. Revised September 1997
  13. Robert Sekuler, Randolph Blake "Perception chapter 6- Object Perception: Recognizing the Things We See" Publication Date: January 1, 1994
  14. I. Biederman. "Recognition by components: A theory of human image understanding. " Psychological Review, 94(5):115–147, November 1987.
  15. Biederman's Geon Theory http://cns-alumni. bu. edu/~slehar/webstuff/pcave/biederman. html.
  16. Geon physiology from Wikipedia, the free encyclopedia: http://en. wikipedia. org/wiki/Geon_(psychology).
  17. Recognition by Components theory from Wikipedia, the free encyclopedia: http://en. wikipedia. org/wiki/Recognition_by_Components_Theory.
  18. Kimberly Kirkpatrick "Object Recognition", Department of Psychology, University of York http://www. pigeon. psy. tufts. edu/avc/kirkpatrick/default. htm.
Index Terms

Computer Science
Information Sciences

Keywords

Object Recognition Recognition by Components Geons perception recognize