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

• Ferrari V, Jurie F, Schmid C,"From images to shape models for object detection" International Journal of Computer Vision, 87(3), 284-303,2010.
• Toshev A, Taskar B, Daniilidis K," Object detection via boundary structure segmentation" IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2010.
• Gu C, Lim J, Arbelaez P, Malik J," Recognition using regions"IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2009.
• Ming-Hsuan Yang "Object Recognition" Encyclopedia of Database Systems (eds. Ling Liu and M. Tamer Ozsu), pp. 1936-1939, 2009.
• Peter M. Roth and Martin Winter," survey of appearance-based methods for object recognition" Technical Report ICG{TR{01/08 Graz, January 15, 2008.
• 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.
• M. Anji Reddy, Y. Hari Shankar "Textbook of Digital Image Processing", copyright © 2006, BS Publications.
• Thomas J. Palmeri* and Isabel Gauthier* "Visual object understanding" Volume 5 | April 2004 | © 2004 Nature Publishing Group
• 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.
• 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.
• Shimon Edelman "Theories of representation and object recognition chapter 2- Representation and recognition in vision" © 1999 the MIT press
• Shimon Edelman "Computational theories of object recognition" School of Cognitive and Computing Sciences University of Sussex June 1997. Revised September 1997
• Robert Sekuler, Randolph Blake "Perception chapter 6- Object Perception: Recognizing the Things We See" Publication Date: January 1, 1994
• I. Biederman. "Recognition by components: A theory of human image understanding. " Psychological Review, 94(5):115–147, November 1987.
• Biederman's Geon Theory http://cns-alumni. bu. edu/~slehar/webstuff/pcave/biederman. html.
• Geon physiology from Wikipedia, the free encyclopedia: http://en. wikipedia. org/wiki/Geon_(psychology).
• Recognition by Components theory from Wikipedia, the free encyclopedia: http://en. wikipedia. org/wiki/Recognition_by_Components_Theory.
• Kimberly Kirkpatrick "Object Recognition", Department of Psychology, University of York http://www. pigeon. psy. tufts. edu/avc/kirkpatrick/default. htm.