Multiclass Object Recognition Inspired by Biological Vision

摘要：

The problem of recognizing multiple object classes in natural images has proven to be a difficult challenge for compute vision. It is reasonable to look to biology for inspiration, a novel multiclass object recognition algorithm based on a biologically inspired model named ST model is proposed. ST model is based on the theory of biological neurology, which calculates object features that exhibit position and scale invariance with uniform model, whose performance on object recognition is superexcellcnt. Firstly, the standard model features of object are extracted via ST model. And then, the identification matrix of multiclass object is built on the need of recognition. At last, the task of recognizing multiclass object is successfully completed with SVM. Experimental results show that our approach exhibits excellent recognition performance.

关键词： object recognition biological vision ST model classification model

作者: Yawei Yang Junshan Li Wei Yang

作者单位: Xian Research Inst.Of High-tech,Xian, China

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 452-455

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）