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» Application of Level Set Methods in Computer Vision
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ICCV
2009
IEEE
15 years 5 months ago
Structure and kinematics triangulation with a rolling shutter stereo rig
We describe a spatio-temporal triangulation method to be used with rolling shutter cameras. We show how a single pair of rolling shutter images enables the computation of both str...
Omar Ait-Aider, François Berry
CVPR
2007
IEEE
16 years 9 months ago
A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence
We describe a method for fully automatic object recognition and segmentation using a set of reference images to specify the appearance of each object. Our method uses a generative...
Ian Simon, Steven M. Seitz
ICPR
2002
IEEE
16 years 8 months ago
Adaptive Kernel Metric Nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to the curse-ofdimensionality. Sev...
Jing Peng, Douglas R. Heisterkamp, H. K. Dai
ACCV
2009
Springer
16 years 2 months ago
Planar Scene Modeling from Quasiconvex Subproblems
In this paper, we propose a convex optimization based approach for piecewise planar reconstruction. We show that the task of reconstructing a piecewise planar environment can be se...
Visesh Chari, Anil Kumar Nelakanti, Chetan Jakkoju...
ICPR
2010
IEEE
15 years 9 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...