Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment
Lu Yanfeng(吕彦锋); Kang Taekoo; Zhang Huazhen; Choi Inhwan; Lim Myotaeg
2014
发表期刊Neurocomputing
期号193页码:155-166
摘要Hierarchical Model and X (HMAX) presents a biologically inspired model for robust object recognition. The HMAX model, based on the mechanisms of the visual cortex, can be described as a four-layer structure. Although the performance of HMAX in object recognition is robust, it has been shown to be sensitive to rotation, which limits the model's performance. To alleviate this limitation, we propose an Oriented Gaussian-Hermite Moment-based HMAX (OGHM-HMAX). In contrast to HMAX which uses a Gabor filter for local feature representation, OGHM-HMAX employs the Oriented Gaussian-Hermite Moment (OGHM), which is a local representation method that represents features and is robust against distortions. OGHM is an extension of the modified discrete Gaussian-Hermite moment (MDGHM). To show the effectiveness of the proposed method, experimental studies on object categorization are conducted on the CalTech101, CalTech5, Scene13 and GRAZ01 databases. Experimental results demonstrate that the performance of OGHM-HMAX is a significant improvement on that of the conventional HMAX.
关键词Object Recognition Classification Hmax Oriented Gaussian-hermite Moment Gabor Features
收录类别SCI
语种英语
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15331
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
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GB/T 7714
Lu Yanfeng,Kang Taekoo,Zhang Huazhen,et al. Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment[J]. Neurocomputing,2014(193):155-166.
APA Lu Yanfeng,Kang Taekoo,Zhang Huazhen,Choi Inhwan,&Lim Myotaeg.(2014).Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment.Neurocomputing(193),155-166.
MLA Lu Yanfeng,et al."Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment".Neurocomputing .193(2014):155-166.
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