Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-05-19
Computer Science
Computer Vision and Pattern Recognition
10 pages, 5 figures
Scientific paper
We give a new algorithmic solution to the well-known five-point pose problem. Our approach does not deal with the famous cubic constraint on an essential matrix. Instead, we use the Cayley representation of orthogonal matrices in order to obtain a polynomial system from epipolar constraints. Solving that system, we directly get a rotation matrix and translation vector of the second camera.
No associations
LandOfFree
An Algorithmic Solution to the Five-Point Pose Problem Based on the Cayley Representation of Orthogonal Matrices 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 An Algorithmic Solution to the Five-Point Pose Problem Based on the Cayley Representation of Orthogonal Matrices, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Algorithmic Solution to the Five-Point Pose Problem Based on the Cayley Representation of Orthogonal Matrices will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-69029