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BMVC
2010
13 years 2 months ago
Reducing mismatching under time-pressure by reasoning about visibility and occlusion
Three methods are explored which help indicate whether feature points are potentially visible or occluded in the matching phase of the keyframe-based real-time visual SLAM system....
Somkiat Wangsiripitak, David W. Murray
TROB
2008
106views more  TROB 2008»
13 years 4 months ago
Discovering Higher Level Structure in Visual SLAM
We describe a novel method for discovering and incorporating higher level map structure in a real-time visual SLAM system. Previous approaches use sparse maps, populated by isolate...
Andrew P. Gee, Denis Chekhlov, Andrew Calway, Walt...
ETVC
2008
13 years 6 months ago
Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing
s of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing Frank Nielsen Ecole Polytechnique, Palaiseau, France Sony CSL, Tokyo, Japan Abstract. We list the abstracts o...
Frank Nielsen
3DIM
2005
IEEE
13 years 6 months ago
Bayesian Modelling of Camera Calibration and Reconstruction
Camera calibration methods, whether implicit or explicit, are a critical part of most 3D vision systems. These methods involve estimation of a model for the camera that produced t...
Rashmi Sundareswara, Paul R. Schrater
ICRA
2009
IEEE
178views Robotics» more  ICRA 2009»
13 years 11 months ago
Camera self-calibration for sequential Bayesian structure from motion
— Computer vision researchers have proved the feasibility of camera self-calibration —the estimation of a camera’s internal parameters from an image sequence without any know...
Javier Civera, Diana R. Bueno, Andrew J. Davison, ...