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ACCV
2010
Springer
13 years 4 months ago
Minimal Representations for Uncertainty and Estimation in Projective Spaces
Abstract. Estimation using homogeneous entities has to cope with obstacles such as singularities of covariance matrices and redundant parametrizations which do not allow an immedia...
Wolfgang Förstner
IJRR
2011
159views more  IJRR 2011»
13 years 4 months ago
Visual-inertial navigation, mapping and localization: A scalable real-time causal approach
We present a model to estimate motion from monocular visual and inertial measurements. We analyze the model and characterize the conditions under which its state is observable, an...
Eagle Jones, Stefano Soatto
SIAMIS
2010
171views more  SIAMIS 2010»
13 years 3 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...
CVPR
2005
IEEE
14 years 11 months ago
Towards Complete Generic Camera Calibration
We consider the problem of calibrating a highly generic imaging model, that consists of a non-parametric association of a projection ray in 3D to every pixel in an image. Previous...
Srikumar Ramalingam, Peter F. Sturm, Suresh K. Lod...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 9 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...