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» Uncertainty Modeling for Optimal Structure from Motion
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ICCV
2005
IEEE
15 years 10 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black
PVLDB
2008
122views more  PVLDB 2008»
15 years 4 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor
133
Voted
ICPR
2002
IEEE
16 years 5 months ago
Illumination Invariant Segmentation of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the...
Shunsuke Kamijo, Katsushi Ikeuchi, Masao Sakauchi
EMMCVPR
2007
Springer
15 years 10 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
IROS
2007
IEEE
145views Robotics» more  IROS 2007»
15 years 10 months ago
A quantitative method for comparing trajectories of mobile robots using point distribution models
— In the field of mobile robotics, trajectory details are seldom taken into account to qualify robot performance. Most metrics rely mainly on global results such as the total ti...
Pierre Roduit, Alcherio Martinoli, Jacques Jacot