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Motion estimation
Results: 235

#	Item
211	Scalable Active Matching Ankur Handa, Margarita Chli, Hauke Strasdat and Andrew J. Davison Department of Computing, Imperial College London, UK {ahanda, mchli, strasdat, ajd}@doc.ic.ac.uk Abstract Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-04-20 11:20:40 Theoretical computer science Graphical models Probability theory Combinatorial optimization Matching Pattern recognition Motion estimation Mixture model Video tracking Mathematics Machine learning Statistics
212	Drift-free Tracking of Rigid and Articulated Objects Juergen Gall, Bodo Rosenhahn, and Hans-Peter Seidel Max-Planck-Institute for Computer Science, Campus E1 4, 66123 Saarbr¨ucken, Germany {jgall, rosenhahn, hpseidel}@m Add to Reading List Source URL: www.tnt.uni-hannover.de Language: English - Date: 2010-03-31 03:55:46 Artificial intelligence 3D pose estimation Object recognition Scale-invariant feature transform Pose Segmentation Optical flow Motion analysis Motion estimation Computer vision Vision Imaging
213	BLIND IMAGE DECONVOLUTION: MOTION BLUR ESTIMATION By Felix Krahmer, Youzuo Lin, Bonnie McAdoo Katharine Ott, Jiakou Wang, David Widemann and Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:32:49 Gaussian function Fourier analysis Integral transforms Signal processing Cepstrum Radon transform Point spread function Deconvolution Trigonometric functions Mathematical analysis Mathematics Image processing
214	Katedra aplikovanej informatiky Fakulta Matematiky, Fyziky a Informatiky Univerzita Komenského, Bratislava Add to Reading List Source URL: www.2b3d.host.sk Language: English - Date: 2005-07-13 04:49:24 Imaging Optics Computer animation Match moving Epipolar geometry Structure from motion Triangulation Correspondence problem Motion estimation Computer vision Video processing Vision
215	Camera Self-Calibration for Sequential Bayesian Structure From Motion Javier Civera, Diana R. Bueno, Andrew J. Davison and J. M. M. Montiel Abstract— Computer vision researchers have proved the feasibility of camera se Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2009-02-15 16:32:53 Control theory Electronic engineering Linear filters Markov models Kalman filter Particle filter Bundle adjustment Camera resectioning Robot control Estimation theory Statistics
216	Interacting Multiple Model Monocular SLAM Javier Civera, Andrew J. Davison and J. M. M. Montiel Abstract— Recent work has demonstrated the benefits of adopting a fully probabilistic SLAM approach in sequential motion a Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2008-02-06 05:42:56 Estimation theory Bayesian statistics Statistical models Kalman filter Particle filter Mixture model Markov chain Pattern recognition Simultaneous localization and mapping Statistics Robot control Markov models
217	Scalable Active Matching Ankur Handa, Margarita Chli, Hauke Strasdat and Andrew J. Davison Department of Computing, Imperial College London, UK {ahanda, mchli, strasdat, ajd}@doc.ic.ac.uk Abstract Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-04-01 06:56:43 Theoretical computer science Graphical models Probability theory Combinatorial optimization Matching Pattern recognition Motion estimation Mixture model Video tracking Mathematics Machine learning Statistics
218	1-Point RANSAC for EKF-Based Structure from Motion Javier Civera, Oscar G. Grasa, Andrew J. Davison and J. M. M. Montiel Abstract— Recently, classical pairwise Structure From Motion (SfM) techniques have been combined Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2009-08-04 05:46:24 Estimation theory Electronic engineering Surveying Robust statistics RANSAC Linear filters Extended Kalman filter Kalman filter EKF SLAM Statistics Technology Robot control
219	2013 IEEE International Conference on Computer Vision Piecewise Rigid Scene Flow Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2013-11-09 11:36:23 Video processing Computer animation Optics Estimation theory Motion Motion estimation Motion analysis Segmentation Egomotion Computer vision Imaging Vision
220	Optimal Second Order Derivative Filter Families for Transparent Motion Estimation Add to Reading List Source URL: www.eurasip.org Language: English - Date: 2009-12-10 06:22:12 Electronics Digital signal processing Filter design Filter Electronic filter Photographic filter Estimation theory Sobel operator Kalman filter Electronic engineering Filter theory Signal processing

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