Three-Dimensional Recognition Technology for Rare English Words

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This paper mainly studies modeling and recognition of 3D English words’ images. With the development of secondary modeling, segmentation and recognition theories and the application of evolution computation in 3D modeling and recognition, this paper analyzes the issues of parameter fitting in the 3D model, multi-object scene segmentation and parts recognition aiming at the 3D data features in the English words. The 3D model is used as the primitives part to model and segment the scenes and the group parallel evolution and the relationship matching theories are introduced into the 3D modeling and recognition to deeply identify the rare English words’ images. The paper searches for a practical and efficient three-dimensional modeling and identification scheme.

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Periodical:

Edited by:

Zhongmin Wang, Dongfang Yang, Kun Yang, Liangyu Guo and Jianming Tan

Pages:

4121-4124

DOI:

10.4028/www.scientific.net/AMM.644-650.4121

Citation:

Q. Chen and L. M. Xu, "Three-Dimensional Recognition Technology for Rare English Words", Applied Mechanics and Materials, Vols. 644-650, pp. 4121-4124, 2014

Online since:

September 2014

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$35.00

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