M-SIFT: A new method for Vehicle Logo Recognition

  title={M-SIFT: A new method for Vehicle Logo Recognition},
  author={Apostolos P. Psyllos and Christos-Nikolaos Anagnostopoulos and Eleftherios Kayafas},
  journal={2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012)},
In this paper, a new algorithm for Vehicle Logo Recognition is proposed, on the basis of an enhanced Scale Invariant Feature Transform (Merge-SIFT or M-SIFT). The algorithm is assessed on a set of 1500 logo images that belong to 10 distinctive vehicle manufacturers. A series of experiments are conducted, splitting the 1500 images to a training set (database) and to a testing set (query). It is shown that the MSIFT approach, which is proposed in this paper, boosts the recognition accuracy… CONTINUE READING
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C.,N., Kayafas, “Vehicle Logo Recognition using a SIFT-based Enhanced Matching Scheme

  • A Psyllos, Anagnostopoulos
  • IEEE Trans on Intelligent Transportation Systems,
  • 2010
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Image Processing & Artificial Neural Networks for Vehicle Make and Model Recognition

  • A. Psyllos, C. N. Anagnostopoulos, E. Kayafas, V. Loumos
  • 10th International Conference on Applications of…
  • 2008
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Recognition of vehicle make from a frontal view

  • M. Čonos
  • Diploma Thesis,
  • 2006
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