DocumentCode :
3672317
Title :
P3.5P: Pose estimation with unknown focal length
Author :
Changchang Wu
Author_Institution :
Google Inc., USA
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
2440
Lastpage :
2448
Abstract :
It is well known that the problem of camera pose estimation with unknown focal length has 7 degrees of freedom. Since each image point gives 2 constraints, solving this problem requires a minimum of 3.5 image points of 4 known 3D points, where 0.5 means either x or y coordinate of an image point. We refer to this minimal problem as P3.5P. However, the existing methods require 4 full image points to solve the camera pose and focal length [21, 1, 3, 23]. In this paper, we present a general solution to the true minimal P3.5P problem with up to 10 solutions. The remaining image coordinate is then used to filter the candidate solutions, which typically results in a single solution for good data or no solution for outliers. Experiments show the proposed method significantly improves the efficiency over the state of the art methods while maintaining a high accuracy.
Keywords :
"Cameras","Polynomials","Three-dimensional displays","Transmission line matrix methods","Quaternions","Accuracy"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2015.7298858
Filename :
7298858
Link To Document :
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