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» Optical Flow Estimation Using Learned Sparse Model
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CVPR
2003
IEEE
15 years 2 months ago
Dynamic Depth Recovery from Unsynchronized Video Streams
In this paper, we propose an algorithm for estimating dense depth information of dynamic scenes from multiple video streams captured using unsynchronized stationary cameras. We so...
Chunxiao Zhou, Hai Tao
HUMO
2007
Springer
15 years 3 months ago
Modeling Human Locomotion with Topologically Constrained Latent Variable Models
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
Raquel Urtasun, David J. Fleet, Neil D. Lawrence
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
15 years 3 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
CCR
2008
118views more  CCR 2008»
14 years 9 months ago
A generic language for application-specific flow sampling
Flow records gathered by routers provide valuable coarse-granularity traffic information for several measurement-related network applications. However, due to high volumes of traf...
Harsha V. Madhyastha, Balachander Krishnamurthy
DAGM
2006
Springer
15 years 1 months ago
Diffusion-Like Reconstruction Schemes from Linear Data Models
In this paper we extend anisotropic diffusion with a diffusion tensor to be applicable to data that is well modeled by linear models. We focus on its variational theory, and invest...
Hanno Scharr