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» Separable PCA for image classification
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MICAI
2000
Springer
15 years 3 months ago
Eigenfaces Versus Eigeneyes: First Steps Toward Performance Assessment of Representations for Face Recognition
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
Teófilo Emídio de Campos, Rogé...
ICDAR
2005
IEEE
15 years 5 months ago
Text/Graphic labelling of Ancient Printed Documents
This paper presents a text/graphic labelling for ancient printed documents. Our approach is based on the extraction and the quantification of the various orientations that are pre...
Nicholas Journet, Véronique Eglin, Jean-Yve...
SSWMC
2004
15 years 1 months ago
Fast additive noise steganalysis
This work reduces the computational requirements of the additive noise steganalysis presented by Harmsen and Pearlman. The additive noise model assumes that the stegoimage is crea...
Jeremiah J. Harmsen, Kevin D. Bowers, William A. P...
ICDAR
1997
IEEE
15 years 3 months ago
Local Skew Angle Estimation from Background Space in Text Regions
Almost all document analysis approaches need to perform a global analysis of the page orientation as a separate process at an early stage. It would be preferable to estimate the o...
Apostolos Antonacopoulos
CVPR
2008
IEEE
16 years 1 months ago
Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
Texture information in images is coupled with geometric macrostructures and piecewise-smooth intensity variations. Decomposing an image f into a geometric structure component u an...
Georgios Evangelopoulos, Petros Maragos