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» Recursive Camera Autocalibration with the Kalman Filter
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ICIP
2007
IEEE
15 years 3 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
15 years 4 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
15 years 11 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
14 years 11 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»
15 years 4 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, ...