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CVPR
2005
IEEE
16 years 1 months ago
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
Hongcheng Wang, Narendra Ahuja
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Where was the Picture Taken: Image Localization in Route Panoramas Using Epipolar Geometry
Finding the location where a picture was taken is an important problem for a variety of applications including surveying, interactive traveling and homeland security among others....
Saad M. Khan, Fahd Rafi, Mubarak Shah
IJCV
2000
133views more  IJCV 2000»
14 years 11 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
ARC
2010
Springer
387views Hardware» more  ARC 2010»
15 years 6 months ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides
CVPR
2007
IEEE
16 years 1 months ago
A minimal solution to the autocalibration of radial distortion
Epipolar geometry and relative camera pose computation are examples of tasks which can be formulated as minimal problems and solved from a minimal number of image points. Finding ...
Tomás Pajdla, Zuzana Kukelova