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11篇 您的检索式：作者名="Corpetti"

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		题名	作者	年代	出处	被引量
	1	Dense estimation of fluid flows显示文摘	Corpetti T Min E M Pearez P		0，，03：	1
	2	Fluid experimental flow estimation based on an optical-flow scheme显示文摘	Corpetti T Heitz D Arroyo G		0，，01：	1
	3	Crowd motion capture 显示文摘	Courty N Corpetti T	2007	Computer Animation & Virtual Worlds2007，18，45：	1
	4	Estimation of the orientation of textured patterns via wavelet analysis显示文摘	Lefebvre A Corpetti T Moy L H		0，，02：	1
	5	Extraction of Singular Points from Dense Motion Fields:an Analytic Approach显示文摘	Corpetti T Mémin E	2003	Mathematical Imaging and Vision2003，19，3：	1
	6	Dense Estimation of Fluid Flows显示文摘	Corpetti T Mémin E Pérez P	2002	IEEE Transactions on Pattern Analysis and Machine Intelligence2002，24，3：	1
	7	Comparative bioavilability study of two oral formulation of ibuprofen 显示文摘	Corpetti G Rosignoli MT Dionisio P	1998	Arzenim-forschung1998，48，4：	1
	8	Comparative bioavilability study of two oral formulation of ibuprofen显示文摘	Corpetti G Rosignoli MT Dionisio P	1998	Arzenim-forschung1998，48，4：	1
	9	Object-oriented mapping and analysis of wetlands using SPOT 5 data显示文摘	Hubert-Moy L Michel K Corpetti T	2006	Int Geosci Remote Se2006，，：	1
	10	Estimation of the orientation of textured patterns via wavelet analysis显示文摘	LEFEBVRE A CORPETTI T MOY L H	2011	Pattern Recognition Letters2011，32，2：	1
	11	Fluid Flow Estimation with Multiscale Ensemble Filters Based on Motion Measurements Under Location Uncertainty显示文摘This paper proposes a novel multi-scale fluid flow data assimilation approach,which integrates and complements the advantages of a Bayesian sequential assimilationtechnique, the Weighted Ensemble Kalman filter (WEnKF) [27]. The data assimilation proposed in this work incorporates measurement brought by an efficient multiscalestochastic formulation of the well-known Lucas-Kanade (LK) estimator. This estimatorhas the great advantage to provide uncertainties associated to the motion measurements at different scales. The proposed assimilation scheme benefits from this multiscale uncertainty information and enables to enforce a physically plausible dynamicalconsistency of the estimated motion fields along the image sequence. Experimentalevaluations are presented on synthetic and real fluid flow sequences.	Sébastien Beyou Thomas Corpetti Sai Gorthi Etienne Mémin	2013	Numerical Mathematics(Theory,Methods and Applications)2013，6，1：	1

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