文献类型：会议论文

英文题名：A Vision Based Method for Object Recognition

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

机构：[1]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai, Peoples R China

会议论文集：3rd International Conference on Information Science and Control Engineering (ICISCE)

会议日期：JUL 08-10, 2016

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：Object Recognition; SIFT Features

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.