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ECCV
2008
Springer
14 years 9 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
CVPR
1999
IEEE
14 years 9 months ago
An Efficient Recursive Factorization Method for Determining Structure from Motion
A recursive method is presented for recovering 3D object shape and camera motion under orthography from an extended sequence of video images. This may be viewed as a natural exten...
Yanhua Li, Michael J. Brooks
ECCV
2002
Springer
14 years 9 months ago
3D Modelling Using Geometric Constraints: A Parallelepiped Based Approach
In this paper, efficient and generic tools for calibration and 3D reconstruction are presented. These tools exploit geometric constraints frequently present in man-made environmen...
Marta Wilczkowiak, Edmond Boyer, Peter F. Sturm
ICA
2007
Springer
14 years 1 months ago
Subspaces of Spatially Varying Independent Components in fMRI
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
Jarkko Ylipaavalniemi, Ricardo Vigário
NIPS
2003
13 years 9 months ago
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...