Bag of Words算法框架的研究

摘要

Bag of Word algorithm is an efficient object recognition algorithm based on semantic features extraction and expression. It learns the virtues of the text-based search algorithm to make images a rang of visual words, extract the semantic characters and carry out the detection and recognition of interesting objects. This paper mainly discusses the frame and basic content of Bag of Words algorithm.%Bag of Words算法是一种有效的基于语义特征提取与表达的物体识别算法，算法充分学习文本检索算法的优点，将图片整理为一系列视觉词汇的集合，提取物体的语义特征，实现感兴趣物体的有效检测与识别。文章主要研究了Bag of Words算法的框架和基本内容。