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A Generative Model for Multi Class Object Recognition and Detection

  • Ilkay Ulusoy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3949)

Abstract

In this study, a generative type probabilistic model is proposed for object recognition. This model is trained by weakly labelled images and performs classification and detection at the same time. When test on highly challenging data sets, the model performs good for both tasks (classification and detection).

Keywords

Object Recognition Equal Error Rate Informative Feature Image Label Interest Point Detector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ilkay Ulusoy
    • 1
  1. 1.METU, Electrical and Electronics Eng. DepartmentAnkaraTurkey

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