2005 • In Schmid, Cordelia; Soatto, Stefano; Tomasi, Carlo (Eds.) Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2005)
[en] We present a novel, generic image classification method based on a recent machine learning algorithm (ensembles of extremely randomized decision trees). Images are classified using randomly extracted subwindows that are suitably normalized to yield robustness to certain image transformations. Our method is evaluated on four very different, publicly available datasets (COIL-100, ZuBuD, ETH-80, WANG). Our results show that our automatic approach is generic and robust to illumination, scale, and viewpoint changes. An extension of the method is proposed to improve its robustness with respect to rotation changes.
Disciplines :
Computer science
Author, co-author :
Marée, Raphaël ; Université de Liège - ULiège > Department of Electrical Engineering and Computer Science > Systèmes et Modélisation
Geurts, Pierre ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Piater, Justus ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > INTELSIG Group
Wehenkel, Louis ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Random Subwindows for Robust Image Classification
Publication date :
2005
Event name :
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
Event organizer :
IEEE
Event place :
San Diego, United States
Audience :
International
Main work title :
Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2005)
Y. Chen and J. Z. Wang. Image categorization by learning and reasoning with regions. Journal of Machine Learning Research. 5:913-939, August 2004.
T. Deselaers, D. Keysers, and H. Ney. Features for image retrieval: A quantitative comparison. In Proc. 26th DAGM Symposium on Pattern Recognition (DAGM 2004). volume LNCS 3175. pages 228-236, August/September 2004.
Y. Freund and E. Robert Schapire. Experiments with a new boosting algorithm. In Proc. Thirteenth International Conference on Machine Learning, pages 148-156, 1996.
P. Geurts. Contributions to decision tree induction: bias/variance tradeoff and time series classification. PhD thesis. Department of Electrical Engineering and Computer Science, University of Liège, May 2002.
P. Geurts, D. Ernst, and L. Wehenkel. Extremely randomized trees. Submitted, 2004.
B. Leibe and B. Schiele. Analyzing appearance and contour based methods for object categorization. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR'03), Madison, WI, June 2003.
R. Marée, P. Geurts, J. Piater, and L. Wehenkel. A generic approach for image classification based on decision tree ensembles and local sub-windows. In Proc. 6th Asian Conference on Computer Vision, January 2004.
R. Marée. Classification automatique d'images par arbres de décision. PhD thesis. University of Lège - Electrical Engineering and Computer Science, February 2005.
J. Matas and S. Obdržálek. Object recognition methods based on transformation covariant features. In Proc. 12th European Signal Processing Conference (EUSIPCO 2004), Vienna, Austria, September 2004.
K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. In International Conference on Computer Vision & Pattern Recognition, volume 2, pages 257-263, June 2003.
K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, and L. Van Gool. A comparison of affine region detectors. Submitted to International Journal of Computer Vision, 2004.
H. Murase and S. K. Nayar. Visual learning and recognition of 3d objects from appearance. International Journal of Computer Vision, 14(1):5-24, 1995.
H. Shao, T. Svoboda, and E. Van Gool. Zubud - Zurich building database for image based recognition. Technical Report TR-260, Computer Vision Lab, Swiss Federal Institute of Technology, Switzerland, 2003.
