计算机工程与应用2017，Vol.53Issue(7)：197-201,5.DOI:10.3778/j.issn.1002-8331.1509-0174
基于多方向空间词袋模型的物体识别
Object recognition based on multi-direction spatial Bags of Words model
摘要
Abstract
To alleviate the problem that spatial position information is completely ignored in Bags of Words representa-tion, an optimized method based on multi-direction spatial Bags of Words is proposed. Firstly, the representation of spatial sub region of an image is modeled by spatial pyramid. Then, projection method is applied to local features of image blocks in horizontal, vertical and inclined ±45° , spatial structure information is well expressed in multi-direction. Fur-thermore, it reduces redundant effects of different object and the dimension of features by means of samples visual code-book. Finally, the proposed method is evaluated on two object databases, the results of comparative experiment show that the proposed algorithm has inspiring performance.关键词
物体识别/多方向投影/空间信息/样本词典/词袋模型Key words
object recognition/multi-direction projection/spatial information/samples codebook/Bags of Words分类
信息技术与安全科学引用本文复制引用
齐梅,胡敏..基于多方向空间词袋模型的物体识别[J].计算机工程与应用,2017,53(7):197-201,5.基金项目
国家自然科学基金-广东联合基金重点项目(No.U1135003) （No.U1135003）
安徽省科技计划项目(No.1206c0805039). （No.1206c0805039）
