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Proceedings Paper

Robust object recognition based on HMAX model architecture
Author(s): Yongxin Chang; Zhiyong Xu; Jing Zhang; Chengyu Fu; Chunming Gao
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Paper Abstract

In this paper, we describe in detail the hierarchical model and X (HMAX) model of Riesenhuber and Poggio. The HMAX model, accounting for visual processing and making plausible predictions founded on prior information, is built up by alternating simple cell layers and complex cell layers. We generalize the principal facts about the ventral visual stream and argue hierarchy of brain areas to mediate object recognition in visual cortex. Then, in order to obtain the futures of object, we implement Gabor filters and alternately apply template matching and maximum operations for input image. Finally,according to the target feature saliency and position information, we introduce a novel algorithm for object recognition in clutter based on the HMAX architecture. The improved model is competitive with current recognizing algorithms on standard database, such as the UICI car and the Caltech101 database including a large number of diverse categories. We also prove that the approach combining spatial position information of parts with the feature fusing can further promotes the recognition rate. The experimental results demonstrate that the proposed approach can recognize objects more precisely and the performance outperforms the standard model.

Paper Details

Date Published: 30 November 2012
PDF: 7 pages
Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85581P (30 November 2012); doi: 10.1117/12.999350
Show Author Affiliations
Yongxin Chang, Institute of Optics and Electronics (China)
Univ. of Electronic Science and Technology of China (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Zhiyong Xu, Institute of Optics and Electronics (China)
Jing Zhang, Univ. of Electronic Science and Technology of China (China)
Chengyu Fu, Institute of Optics and Electronics (China)
Chunming Gao, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 8558:
Optoelectronic Imaging and Multimedia Technology II
Tsutomu Shimura; Guangyu Xu; Linmi Tao; Jesse Zheng, Editor(s)

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