Unsupervised clustering for logo images using singular values region covariance matrices on Lie groups-Reference-Cited by-同舟云学术

Unsupervised clustering for logo images using singular values region covariance matrices on Lie groups

Published:2012-04-19 Issue:4 Volume:51 Page:047005
ISSN:0091-3286
Container-title:Optical Engineering
language:en
Short-container-title:Opt. Eng

Author:

Zhang Xuguang

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference34 articles.

1. A model for image generation and symbol recognition through the deformation of lineal shapes

2. Edge-backpropagation for noisy logo recognition

3. Integration of local and global shape analysis for logo classification

4. Content-based trademark retrieval system using a visually salient feature

5. Cesarini, F. et al., “A neural-based architecture for spot-noisy logo recognition,” IEEE Conf. on Document Analysis and Recognition, 1, Ulm, Germany, pp. 175–179 (1997).

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