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CASIA OpenIR
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A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
Adobe PDF(4447Kb)  |  收藏  |  浏览/下载：189/15  |  提交时间：2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure  
Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment 期刊论文
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2019, 卷号: 17, 期号: 2, 页码: 16
作者:  Lu, Yanfeng;  Jia, Lihao;  Qiao, Hong;  Li, Yi;  Qi, Zongshuai
Adobe PDF(394Kb)  |  收藏  |  浏览/下载：370/69  |  提交时间：2019/04/23
Image recognition  classification  BIM  oriented Gaussian-Hermite moment  Gabor features  patch selection  
Enhanced Hierarchical Model of Object Recognition Based on Saliency Map and Keypoint 会议论文
, Seoul, South Korea, 2015.4.22-4.25
作者:  Lu Yanfeng(吕彦锋);  Kang Taekoo;  Zhang Huazhen;  Pae Dongsung;  Lim Myotaeg
Adobe PDF(324Kb)  |  收藏  |  浏览/下载：317/103  |  提交时间：2017/09/14
Object Recognition  Classification  Hmax  Saliency Map  Keypoint  
B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition 期刊论文
Neurocomputing, 2016, 期号: 218, 页码: 242-250
作者:  Zhang Huazhen;  Lu Yanfeng;  Kang Taekoo;  Lim Myotaeg
浏览  |  Adobe PDF(2633Kb)  |  收藏  |  浏览/下载：341/116  |  提交时间：2017/09/14
Object Recognition  Classification  Hmax  Binary Descriptor  
Dominant Orientation Patch Matching for HMAX 期刊论文
Neurocomputing, 2016, 期号: 193, 页码: 155-166
作者:  Lu Yanfeng(吕彦锋);  Zhang Huazhen;  Kang Taekoo;  Lim Myotaeg
浏览  |  Adobe PDF(9039Kb)  |  收藏  |  浏览/下载：363/102  |  提交时间：2017/09/14
Object Recognition  Classification  Hmax  Dominant Orientation  Patch Matching  
Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions 期刊论文
IET Computer Vision, 2015, 卷号: 5, 期号: 9, 页码: 663-672
作者:  Lu Yanfeng(吕彦锋);  Kang Taekoo;  Zhang Huazhen;  Lim Myotaeg
浏览  |  Adobe PDF(1858Kb)  |  收藏  |  浏览/下载：267/112  |  提交时间：2017/09/14
Hierarchical Model  Object Recognition  Keypoint-based Patch Selection  Hmax