Combining Image Invariant Features and Clustering Techniques for Visual Place Classification

Martinez-Gomez J., Jimenez-Picazo A., Gamez J. A., Garcia-Varea I.

20th International Conference on Pattern Recognition Conference, İstanbul, Türkiye, 23 - 26 Nisan 2010, cilt.6388, ss.200-209 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 6388
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.200-209
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

This paper presents the techniques developed by the SIMD group and the results obtained for the 2010 RobotVision task in the ImageCLEF competition. The approach presented tries to solve the problem of robot localization using only visual information. The proposed system presents a classification method using training sequences acquired under different lighting conditions. Well-known SIFT and RANSAC techniques are used to extract invariant points from the images used as training information. Results obtained in the RobotVision@ImageCLEF competition proved the goodness of the proposal.