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» Robust Estimators under the Imprecise Dirichlet Model
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SSIAI
2000
IEEE
14 years 22 hour ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
SCALESPACE
2007
Springer
14 years 1 months ago
Dense Optical Flow Estimation from the Monogenic Curvature Tensor
In this paper, we address the topic of estimating two-frame dense optical flow from the monogenic curvature tensor. The monogenic curvature tensor is a novel image model, from whi...
Di Zang, Lennart Wietzke, Christian Schmaltz, Gera...
INTERSPEECH
2010
13 years 2 months ago
SAFE: a statistical algorithm for F0 estimation for both clean and noisy speech
A novel Statistical Approach for F0 Estimation, SAFE, is proposed to improve the accuracy of F0 tracking under both clean and additive noise conditions. Prominent Signal-to-Noise ...
Wei Chu, Abeer Alwan
TWC
2008
142views more  TWC 2008»
13 years 7 months ago
Robust Ultra-Wideband Signal Acquisition
Ultra-wideband (UWB) communication is envisaged to be deployed in indoor environments, where the noise distribution is decidedly non-Gaussian. A critical challenge for impulse radi...
Ersen Ekrem, Mutlu Koca, Hakan Deliç
CVPR
2008
IEEE
14 years 9 months ago
Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry
This paper describes a new passive approach to capture time-varying scene geometry in large acquisition volumes from multi-view video. It can be applied to reconstruct complete mo...
Naveed Ahmed, Christian Theobalt, Petar Dobrev, Ha...