Paper Info
Title
Online Auto-Calibration in Man-Made Worlds
Abstract
This paper proposes a method to auto-calibrate a static camera in man-made worlds. The calibration is done with vanishing points which are estimated with line segments. Instead of a single image, the method uses constantly acquired images from a camera. This online behavior of the method has two advantages: A continuous and adaptive estimation of the vanishing points over thousands of images suppresses the amount of noise in their positions. Newly detected line segments can further improve the estimated positions of vanishing points. This method is of practical importance, because simple installation and maintenance of cameras in video surveillance is a competitive advantage. Furthermore, applications like tracking can profit, because knowledge about the scene geometry can be a potential clue. The method was evaluated in a broad range of indoor and outdoor environments. The relative error between the internal camera parameter estimates and the true values was on average 5%.
Year
DOI
Venue
2005
10.1109/DICTA.2005.63
DICTA
Keywords
Field
DocType
profitability,relative error,geometry,vanishing point,image segmentation,calibration,layout,parameter estimation,competitive advantage,computer graphics
Line segment,Computer vision,Computer graphics (images),Computer science,Competitive advantage,Image segmentation,Artificial intelligence,Auto calibration,Computer graphics,Vanishing point,Calibration,Approximation error
Conference
ISBN
Citations 
PageRank 
0-7695-2467-2
13
0.80
References 
Authors
9
2
Name
Order
Citations
PageRank
Roman P. Pflugfelder19511.36
Horst Bischof28751541.43