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ACCV
2010
Springer
14 years 10 months ago
Efficient Large-Scale Stereo Matching
ACCV In this paper we propose a novel approach to binocular stereo for fast matching of high-resolution images. Our approach builds a prior on the disparities by forming a ...
Andreas Geiger, Martin Roser and Raquel Urtasun
CORR
2010
Springer
122views Education» more  CORR 2010»
14 years 10 months ago
A Unified Algorithmic Framework for Multi-Dimensional Scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
CORR
2011
Springer
157views Education» more  CORR 2011»
14 years 1 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
MVA
2007
122views Computer Vision» more  MVA 2007»
14 years 11 months ago
Free Parking Space Detection Using Optical Flow-based Euclidean 3D Reconstruction
An automatic parking system provides convenience for drivers by automatically finding free parking spaces and steering automobiles toward them. This paper proposes a vision-based ...
Jae Kyu Suhr, Kwanghyuk Bae, Jaihie Kim, Ho Gi Jun...
ISNN
2009
Springer
15 years 4 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo