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CVPR
2012
IEEE
11 years 10 months ago
Seeing double without confusion: Structure-from-motion in highly ambiguous scenes
3D reconstruction from an unordered set of images may fail due to incorrect epipolar geometries (EG) between image pairs arising from ambiguous feature correspondences. Previous m...
Nianjuan Jiang, Ping Tan, Loong Fah Cheong
CVPR
2012
IEEE
11 years 10 months ago
Finite Element based sequential Bayesian Non-Rigid Structure from Motion
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
Antonio Agudo, Begoña Calvo, J. M. M. Monti...
ECCV
2002
Springer
14 years 9 months ago
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Dana Cobzas, Martin Jägersand
ICRA
2009
IEEE
178views Robotics» more  ICRA 2009»
14 years 2 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, ...
NIPS
2000
13 years 9 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...