A Study of Recognition Algorithms of Large-Scale Image Based on the Fusion of SIFT Features and BP Neutral Network

Xue Ding; Shun Han; Hong Hong Yang; Jin Xu; Guang Yang

doi:10.4028/www.scientific.net/AMR.1049-1050.1558

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050A Study of Recognition Algorithms of Large-Scale...

A Study of Recognition Algorithms of Large-Scale Image Based on the Fusion of SIFT Features and BP Neutral Network

Abstract:

Large-scale image recognition refers to giving computer the human visiual intelligent, in the massive data mode using computer to rrecognize the input image rapidly and exactly. In the process of recognition, the light, rotation and other factors will be the effects, meanwhile these noises will increase the difficulty of visual object recognition. How to recognize the large-scale image in the real scene and complex environment becomes a research topic. In order to recognize the large-scale image in real and complex envvironment and get a better recognition effect, this paper presents large-scale image based recognition algorithms with fusion of SIFT features and BP neutral network.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1558-1560

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1558

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Online since:

October 2014

Authors:

Xue Ding, Shun Han, Hong Hong Yang, Jin Xu, Guang Yang

Keywords:

BP Neutral Network, Large-Scale Image, Recognition Algorithms, SIFT Features

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