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» Robust Estimators under the Imprecise Dirichlet Model
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SSIAI
2000
IEEE
15 years 2 months 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
15 years 3 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
14 years 4 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»
14 years 9 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
73
Voted
CVPR
2008
IEEE
15 years 11 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...