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1 Technical Sciences / University of Warmia and Mazury in Olsztyn

1 2012

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Categorization of Similar Objects Using Bag of Visual Words and k - Nearest Neighbour Classifier

Artiemjew P., Górecki P., Sopyła K.

Technical Sciences / University of Warmia and Mazury in Olsztyn

2012

nr 15(2)

293-305

Image categorization is one of the fundamental tasks in computer vision, it has wide application in methods of artificial intelligence, robotic vision and many others. There are a lot of difficulties in computer vision to overcome, one of them appears during image recognition and classification. The difficulty arises from an image variance, which may be caused by scaling, rotation, changes in a perspective, illumination levels, or partial occlusions. Due to these reasons, the main task is to represent represent images in such way that would allow recognizing them even if they have been modified. Bag of Visual Words (BoVW) approach, which allows for describing local characteristic features of images, has recently gained much attention in the computer vision community. In this article we have presented the results of image classification with the use of BoVW and k - Nearest Neighbor classifier with different kinds of metrics and similarity measures. Additionally, the results of k - NN classification are compared with the ones obtained from a Support Vector Machine classifier.