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CVPR
2009
IEEE
17 years 2 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ICCV
2009
IEEE
17 years 6 days ago
Multi-Scale Object Detection by Clustering Lines
Object detection in cluttered, natural scenes has a high complexity since many local observations compete for object hypotheses. Voting methods provide an efficient solution to ...
Bjorn Ommer, Jitendra Malik
ICCV
2009
IEEE
17 years 6 days ago
Moving in Stereo: Efficient Structure and Motion Using Lines
We present a fast and robust system for estimating structure and motion using a stereo pair, with straight lines as features. Our first set of contributions are efficient algorit...
Manmohan Chandraker, Jongwoo Lim, David Kriegman
CVPR
2000
IEEE
16 years 9 months ago
Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences
In this paper we present a novel approach to estimate and analyze 3D uid structure and motion of clouds from multi-spectrum 2D cloud image sequences. Accurate cloud-top structure ...
Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof
CVPR
2004
IEEE
16 years 9 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher