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» A tensorial framework for color images
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TNN
2008
141views more  TNN 2008»
13 years 5 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
ECCV
2000
Springer
14 years 7 months ago
Color and Scale: The Spatial Structure of Color Images
Abstract. For grey-value images, it is well accepted that the neighborhood rather than the pixel carries the geometrical interpretation. Interestingly the spatial configuration of ...
Jan-Mark Geusebroek, Rein van den Boomgaard, Arnol...
TIP
2011
137views more  TIP 2011»
12 years 11 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
ECCV
2008
Springer
14 years 7 months ago
Automatic Image Colorization Via Multimodal Predictions
We aim to color greyscale images automatically, without any manual intervention. The color proposition could then be interactively corrected by user-provided color landmarks if nec...
Bernhard Schölkopf, Guillaume Charpiat, Matth...
ICASSP
2007
IEEE
13 years 9 months ago
A Framework for wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicin
This paper presents a new approach to demosaicing of spatially sampled image data observed through a color filter array, in which properties of Smith-Barnwell filterbanks are empl...
Keigo Hirakawa, Xiao-Li Meng, Patrick J. Wolfe