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180
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ICCV
2007
IEEE
16 years 8 months ago
Accurate Non-Iterative O(n) Solution to the PnP Problem
We propose a non-iterative solution to the PnP problem--the estimation of the pose of a calibrated camera from n 3D-to-2D point correspondences--whose computational complexity gro...
Francesc Moreno-Noguer, Vincent Lepetit, Pascal Fu...
ICCV
2007
IEEE
16 years 8 months ago
Real-Time SLAM Relocalisation
Monocular SLAM has the potential to turn inexpensive cameras into powerful pose sensors for applications such as robotics and augmented reality. However, current implementations l...
Brian Williams, Georg Klein, Ian D. Reid
221
Voted
ICCV
2005
IEEE
16 years 8 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICCV
1999
IEEE
16 years 8 months ago
Neurocalibration: A Neural Network That Can Tell Camera Calibration Parameters
Camera calibration is a primary crucial step in many computer vision tasks. In this paper we present a new neural approach for camera calibration. Unlike some existing neural appr...
Moumen T. Ahmed, Elsayed E. Hemayed, Aly A. Farag
ICCV
1999
IEEE
16 years 8 months ago
Camera Pose and Calibration from 4 or 5 Known 3D Points
We describe two direct quasilinear methods for camera pose (absolute orientation) and calibration from a single image of 4 or 5 known 3D points. They generalize the 6 point `Direc...
Bill Triggs
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