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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
16 years 9 days ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
VRST
2010
ACM
15 years 3 months ago
An adaptive training-free feature tracker for mobile phones
While tracking technologies based on fiducial markers have dominated the development of Augmented Reality (AR) applications for almost a decade, various real-time capable approach...
Jan Herling, Wolfgang Broll
ICDAR
2003
IEEE
15 years 11 months ago
Numeral recognition for quality control of surgical sachets
In this paper we describe an application of OCR techniques to quality control in industrial production. The purpose of the system is to verify the correct printing of numerical in...
Ernest Valveny, Antonio López
VISUALIZATION
1997
IEEE
15 years 10 months ago
A comparison of normal estimation schemes
The task of reconstructing the derivative of a discrete function is essential for its shading and rendering as well as being widely used in image processing and analysis. We surve...
Torsten Möller, Raghu Machiraju, Klaus Muelle...
PAMI
2007
202views more  PAMI 2007»
15 years 5 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis