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» Self-Calibration Using the Linear Projective Reconstruction
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MVA
1996
205views Computer Vision» more  MVA 1996»
13 years 9 months ago
Highlight Separation Using Multiple Images with Intensities and Ranges.
In this paper, a method for extracting influences of specular reflection and shade from multiple color images is described. As regards extraction, the di-chromatic reflection mode...
Masaki Otsuki, Yukio Sato
IEEECGIV
2009
IEEE
14 years 3 months ago
Two Dimensional Compressive Classifier for Sparse Images
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
ECCV
1998
Springer
14 years 10 months ago
Computation of the Quadrifocal Tensor
This paper gives a practical and accurate algorithm for the computation of the quadrifocal tensor and extraction of camera matrices from it. Previous methods for using the quadrifo...
Richard I. Hartley
ICASSP
2009
IEEE
14 years 3 months ago
Compressive confocal microscopy
In this paper, a new approach for Confocal Microscopy (CM) based on the framework of compressive sensing is developed. In the proposed approach, a point illumination and a random ...
Peng Ye, José L. Paredes, Gonzalo R. Arce, ...
WSCG
2004
166views more  WSCG 2004»
13 years 9 months ago
De-noising and Recovering Images Based on Kernel PCA Theory
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Pengcheng Xi, Tao Xu