CPPP/UFMS at ImageCLEF 2014: Robot Vision Task GOMES, R. C. ; RIBAS, L. C. ; CASTRO JUNIOR, A. A. ; GONÇALVES, W. N. CLEF 2014, 2014. p. 348-354.
This paper describes the participation of the CPPP/UFMS group in the robot vision task. We have applied the spatial pyramid matching proposed by Lazebnik et al. This method extends bag-of-visual- words to spatial pyramids by concatenating histograms of local features found in increasingly fine sub-regions. To form the visual vocabulary, k- means clustering was applied in a random subset of images from training dataset. After that the images are classified using a pyramid match kernel and the k-nearest neighbors. The system has shown promising results, particularly for object recognition.
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