自动化学报2011，Vol.37Issue(10)：1183-1189,7.DOI:10.3724/SP.J.1004.2011.01183
基于GaborSIFT+NNScSPM图像特征抽取算法研究
An Image Feature Extraction Method Based on GaborSIFT+NNScSPM
摘要
Abstract
Feature representation of visual information is one of core research topics in computer vision and image understanding. In this paper, we propose a feature extraction method based on GaborSIFT+NNScSPM, trying to combine HMAX model with non-negative sparse coding to mimic the information process in VI area in visual cortex. We have test our proposed method on two public data sets (15 scenes and Caltech101), and the experiment results show that our method outperforms the existing ones.关键词
特征抽取/生物视觉机制/HMAX/非负稀疏编码/语义分类Key words
Feature extraction/biological inspired feature/HMAX/non-negative sparse coding/semantic classification引用本文复制引用
江爱文,王春恒,肖柏华..基于GaborSIFT+NNScSPM图像特征抽取算法研究[J].自动化学报,2011,37(10):1183-1189,7.基金项目
国家自然科学基金(60835001,60933010)资助 （60835001,60933010）
