文献类型：期刊文献

英文题名：A Vision Based Method for Object Recognition

作者：Zhang, Yiting[1]; Liang, Jianning[1]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2016

起止页码：139

外文期刊名：Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

收录：EI(收录号：20165003106870)

语种：英文

外文关键词：Barium compounds - Classifiers - Decision trees

摘要：Recognizing objects in images is a very important research task in the field of computer vision and pattern recognition. We introduce an effective method for object recognition. In order to characterize the appearance of the objects, the SFIT features are extracted from the images. Then, these features are sent to train four classifiers i.e. KNN classifier, Naive Bayes classifier, Decision tree classifier and SVM classifier which are used to predict objects. Out method performs well on the Caltech image data in the experiments. ? 2016 IEEE.