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» Estimating Sensor Orientation in Cameras
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IROS
2007
IEEE
154views Robotics» more  IROS 2007»
15 years 4 months ago
A Kalman filter-based algorithm for IMU-camera calibration
—Vision-aided inertial navigation systems (V-INSs) can provide precise state estimates for the 3-D motion of a vehicle when no external references (e.g., GPS) are available. This...
Faraz M. Mirzaei, Stergios I. Roumeliotis
CLEAR
2006
Springer
199views Biometrics» more  CLEAR 2006»
15 years 1 months ago
Head Pose Tracking and Focus of Attention Recognition Algorithms in Meeting Rooms
Abstract. The paper presents an evaluation of both head pose and visual focus of attention (VFOA) estimation algorithms in a meeting room environment. Head orientation is estimated...
Sileye O. Ba, Jean-Marc Odobez
TSMC
1998
102views more  TSMC 1998»
14 years 9 months ago
Calibration of an active binocular head
— In this paper, we show how an active binocular head, the IIS head, can be easily calibrated with very high accuracy. Our calibration method can also be applied to many other bi...
Sheng-Wen Shih, Yi-Ping Hung, Wei-Song Lin
CVPR
2007
IEEE
15 years 11 months ago
Active Visual Object Reconstruction using D-, E-, and T-Optimal Next Best Views
In visual 3-D reconstruction tasks with mobile cameras, one wishes to move the cameras so that they provide the views that lead to the best reconstruction result. When the camera ...
Stefan Wenhardt, Benjamin Deutsch, Elli Angelopoul...
ICCV
2003
IEEE
15 years 3 months ago
Computing MAP trajectories by representing, propagating and combining PDFs over groups
This paper addresses the problem of computing the trajectory of a camera from sparse positional measurements that have been obtained from visual localisation, and dense differenti...
Paul Smith, Tom Drummond, Kimon Roussopoulos