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SIBGRAPI
2006
IEEE
15 years 9 months ago
Dealing with Multi-Scale Depth Changes and Motion in Depth Edge Detection
Sharp discontinuities in depth, or depth edges, are very important low-level features for scene understanding. Recently, we have proposed a solution to the depth edge detection pr...
Rogerio Feris, Matthew Turk, Ramesh Raskar
162
Voted
IJRR
2011
218views more  IJRR 2011»
14 years 10 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
MHCI
2009
Springer
15 years 10 months ago
Fixed in time and "time in motion": mobility of vision through a SenseCam lens
SenseCam is an automatic wearable camera, often seen as a tool for the creation of digital memories. In this paper, we report findings from a field trial in which SenseCams were w...
Siân E. Lindley, Richard H. R. Harper, David...
ICML
2009
IEEE
16 years 4 months ago
Learning nonlinear dynamic models
We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory sh...
John Langford, Ruslan Salakhutdinov, Tong Zhang
140
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CVPR
2009
IEEE
16 years 10 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...