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Andrew Davison
Results: 44

#	Item
31	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
32	October, 2012 Demand for Armour Equipment’s Mast Climber Access Solution Rises October 4, 2012 – In less than three short months from launching its new division, Armour Equipment is pleased to announce that it alrea Add to Reading List Source URL: www.armourscaffold.ca Language: English - Date: 2012-10-16 13:11:14 Andrew Davison PCL Construction Calgary
33	Andrew John Davison Department of Computing Imperial College London 180 Queen’s Gate South Kensington SW7 2AZ, UK Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2014-01-22 07:58:16 Robotics Engineering and Physical Sciences Research Council Robot Simultaneous localization and mapping Computer science Science Artificial intelligence International Conference on Computer Vision
34	Real-Time Camera Tracking: When is High Frame-Rate Best? Ankur Handa, Richard A. Newcombe, Adrien Angeli, and Andrew J. Davison Department of Computing, Imperial College London, UK {ahanda,rnewcomb,aangeli,ajd}@doc.ic.ac Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2012-10-09 07:32:55 Computer animation Computer vision 3D computer graphics Digital photography Match moving Video processing Video tracking Motion capture Shutter Visual arts Film Optics
35	Automatically and Efficiently Inferring the Hierarchical Structure of Visual Maps Margarita Chli and Andrew J. Davison Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2009-02-16 11:41:22 Chow-Liu tree Knowledge representation Mutual information Pose Simultaneous localization and mapping Pattern recognition Correspondence problem Artificial intelligence Computer vision Machine learning
36	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
37	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
38	Active Matching Margarita Chli and Andrew J. Davison Imperial College London, London SW7 2AZ, UK {mchli,ajd}@doc.ic.ac.uk Abstract. In the matching tasks which form an integral part of all types of tracking and geometri Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2008-08-28 18:09:20 Computer vision Cluster analysis Mixture model Normal distribution Kullback–Leibler divergence Mutual information Information theory Statistics Probability and statistics Machine learning
39	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
40	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

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