Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2008-07-13
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
The goal of this paper is to estimate directly the rotation and translation between two stereoscopic images with the help of five homologous points. The methodology presented does not mix the rotation and translation parameters, which is comparably an important advantage over the methods using the well-known essential matrix. This results in correct behavior and accuracy for situations otherwise known as quite unfavorable, such as planar scenes, or panoramic sets of images (with a null base length), while providing quite comparable results for more "standard" cases. The resolution of the algebraic polynomials resulting from the modeling of the coplanarity constraint is made with the help of powerful algebraic solver tools (the Groebner bases and the Rational Univariate Representation).
Guedon JeanPierre
Jung Franck
Kalantari Mahzad
Paparoditis Nicolas
No associations
LandOfFree
The Five Points Pose Problem : A New and Accurate Solution Adapted to any Geometric Configuration does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The Five Points Pose Problem : A New and Accurate Solution Adapted to any Geometric Configuration, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Five Points Pose Problem : A New and Accurate Solution Adapted to any Geometric Configuration will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-12464