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» Recursive Camera Autocalibration with the Kalman Filter
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ICIP
2007
IEEE
13 years 11 months ago
Recursive Camera Autocalibration with the Kalman Filter
Given a projective reconstruction of a 3D scene, we address the problem of recovering the Euclidean structure of the scene in a recursive way. This leads to the application of Kal...
Guillermo Gallego, José Ignacio Ronda, Anto...
ICVS
2009
Springer
13 years 12 months ago
A Multiple Hypothesis Approach for a Ball Tracking System
This paper presents a computer vision system for tracking and predicting flying balls in 3-D from a stereo-camera. It pursues a “textbook-style” approach with a robust circle ...
Oliver Birbach, Udo Frese
ICIP
2006
IEEE
14 years 7 months ago
Resolution Improvement from Stereo Images with 3D Pose Differences
Resolution improvement from several images is typically restricted to simple planar rotations and translations. In this paper, a super-resolution algorithm that allows 3D ego-moti...
Siu-Hang Or, Ying Kin Yu, Kin-hong Wong, Michael M...
AUSAI
2006
Springer
13 years 7 months ago
3D Morphable Model Parameter Estimation
Estimating the structure of the human face is a long studied and difficult task. In this paper we present a new method for estimating facial structure from only a minimal number o...
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
ICRA
2009
IEEE
178views Robotics» more  ICRA 2009»
13 years 12 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, ...