New approach for scale, rotation, and translation invariant pattern recognition

1997 ◽  
Vol 36 (4) ◽  
pp. 1113 ◽  
Author(s):  
Wen-Hao Wang
Author(s):  
Zhilin Feng ◽  
Jianwei Yin ◽  
Zhaoyang He ◽  
Wuheng Zuo ◽  
Jinxiang Dong

2008 ◽  
Author(s):  
Alexei A. Kamshilin ◽  
Laure Fauch ◽  
Ervin Nippolainen ◽  
Niklaus Ursus Wetter ◽  
Jaime Frejlich

2013 ◽  
Vol 462-463 ◽  
pp. 452-457 ◽  
Author(s):  
Qi Rong Zhang ◽  
Jia Nan Gu ◽  
Ming Fu Zhang

Li et al. [Pattern Recognition 41 (2008) 3287 -- 329 proposed the constrained maximum variance mapping method. The CMVM is globally maximizing the distances between different manifolds. We find out that globally minimizing the distances between the same manifolds can have better recognition than CMVM method on the Yale face database, ORL face database and UMIST face database. Hence we propose to use an inverse constrained maximum variance mapping method (ICMVM) which can be seen as the inverse Laplacian Fisher discriminate criteria. Experiment results suggest that this new approach performs well.


1997 ◽  
Author(s):  
Donald Prevost ◽  
Michel Doucet ◽  
Alain Bergeron ◽  
Luc Veilleux ◽  
Paul C. Chevrette ◽  
...  

1999 ◽  
Vol 80 (6) ◽  
pp. 433-447 ◽  
Author(s):  
Hans-Martin R. Arnoldi ◽  
Karl-Hans Englmeier ◽  
Wilfried Brauer

2010 ◽  
Vol 1 (2) ◽  
pp. 21-28 ◽  
Author(s):  
Mamta Rani ◽  
Saurabh Goel

In chaos game, one is randomly chosen and applied to create a new point. Repeatedly, a random rule is selected repeatedly to produce an attractor. Barnsley (2006) used chaos game in function systems, giving rise to interesting fractals by combining it with function iterations. A fractal fern is generated by taking different probabilities in the chaos game. In this paper, the authors introduce two advanced iterations from nonlinear analysis into the study of IFS for generation and pattern recognition of new fractal ferns.


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