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» Maximum Likelihood Estimation of Intrinsic Dimension
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BMVC
1998
13 years 7 months ago
The Precision of 3D Reconstruction from Uncalibrated Views
We consider reconstruction algorithms using points tracked over a sequence of (at least three) images, to estimate the positions of the cameras (motion parameters), the 3D coordin...
Etienne Grossmann, José Santos-Victor
CVPR
1999
IEEE
14 years 8 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
ICML
2005
IEEE
14 years 7 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
IVC
2000
186views more  IVC 2000»
13 years 6 months ago
Uncertainty analysis of 3D reconstruction from uncalibrated views
We consider reconstruction algorithms using points tracked over a sequence of (at least three) images, to estimate the positions of the cameras (motion parameters), the 3D coordin...
Etienne Grossmann, José Santos-Victor
TSP
2008
101views more  TSP 2008»
13 years 6 months ago
Subspace-Based Algorithm for Parameter Estimation of Polynomial Phase Signals
In this correspondence, parameter estimation of a polynomial phase signal (PPS) in additive white Gaussian noise is addressed. Assuming that the order of the PPS is at least 3, the...
Yuntao Wu, Hing Cheung So, Hongqing Liu