Paper Info
Title
Vanishing Point Detection in Complex Man-made Worlds
Abstract
In this paper, we describe the components of a robust algorithm for the detection of vanishing points in man-made environments. We designed our approach to work under quite general conditions (e.g., uncalibrated camera); and in contrast to several other approaches, the assumption of a dominant line-alignment w.r.t. the orthogonal axes of the world coordinate frame (Manhattan world) is not explicitly exploited. Our only premise is, that if a significant number of the imaged line segments meet very accurately in a point, this point is very likely to be a good candidate for a real vanishing point. For finding such points under a wide range of conditions, we propose a flexible algorithmic pipeline that combines accurate line detection techniques with robust statistical candidate initialization and refinement stages. The method was evaluated on a set of images exhibiting largely varying characteristics concerning image quality and scene complexity. Experiments show that the method, despite the variations, works in a stable manner and that its performance compares favorably with the state of the art.
Year
DOI
Venue
2007
10.1109/ICIAP.2007.130
ICIAP
Keywords
Field
DocType
general condition,image quality,accurate line detection technique,manhattan world,complex man-made worlds,robust algorithm,imaged line segment,good candidate,dominant line-alignment w,flexible algorithmic pipeline,robust statistical candidate initialization,vanishing point detection,computational geometry,vanishing point,robust statistics,statistical analysis
Line segment,Computer vision,Object detection,Computer science,Computational geometry,Image quality,Premise,Artificial intelligence,Initialization,Orthogonal coordinates,Vanishing point
Conference
ISBN
Citations 
PageRank 
0-7695-2877-5
17
1.17
References 
Authors
8
2
Name
Order
Citations
PageRank
Horst Wildenauer112612.81
Markus Vincze21343136.87