Paper Info
Title
Simultaneous vanishing point detection and camera calibration from single images
Abstract
For images taken in man-made scenes, vanishing points and focal length of camera play important roles in scene understanding. In this paper, we present a novel method to quickly, accurately and simultaneously estimate three orthogonal vanishing points (TOVPs) and focal length from single images. Our method is based on the following important observations: If we establish a polar coordinate system on the image plane whose origin is at the image center, angle coordinates of vanishing points can be robustly estimated by seeking peaks in a histogram. From the detected angle coordinates, altitudes of a triangle formed by TOVPs are determined. Novel constraints on both vanishing points and focal length could be obtained from the three altitudes. By using the constraints, radial coordinates of TOVPs and focal length can be estimated simultaneously. Our method decomposes a 2D Hough parameter space into two cascaded 1D Hough parameter spaces, which makes our method much faster and more robust than previous methods without losing accuracy. Enormous experiments on real images have been done to test feasibility and correctness of our method.
Year
DOI
Venue
2010
10.1007/978-3-642-17274-8_15
ISVC
Keywords
Field
DocType
image plane,real image,image center,novel method,point detection,important role,focal length,previous method,camera calibration,hough parameter space,novel constraint,single image,following important observation,polar coordinate,parameter space,vanishing point
Histogram,Computer vision,Altitude (triangle),Computer science,Image plane,Focal length,Polar coordinate system,Camera resectioning,Artificial intelligence,Real image,Vanishing point
Conference
Volume
ISSN
ISBN
6454
0302-9743
3-642-17273-3
Citations 
PageRank 
References 
7
0.54
10
Authors
4
Name
Order
Citations
PageRank
Bo Li11729.79
Kun Peng2271.39
Xianghua Ying322123.55
Hongbin Zha42206183.36