Paper Info
Title
Computationally efficient vanishing point detection for camera applications
Abstract
This paper describes a computationally efficient approach to obtain vanishing points in images for consumer electronics applications. It involves modifications of the conventional J-linkage algorithm that is widely used for vanishing point detection. The developed approach involves reducing the number of hypothesis sets and utilizing an initial set of clusters using a skeletal set of edges. Both the computational efficiency and performance aspect of our approach are compared with the conventional J-linkage algorithm by examining the York Urban image database. It is shown that our approach significantly improves the computational efficiency of vanishing point detection while at the same time providing lower errors.
Year
DOI
Venue
2014
10.1109/ICCE.2014.6775899
ICCE
Keywords
Field
DocType
cameras,computational complexity,consumer electronics,image reconstruction,j linkage algorithm,york urban image database,camera applications,computationally efficient vanishing point detection
Iterative reconstruction,Computer vision,Computer science,Electronics,Artificial intelligence,Image database,Vanishing point,Computational resource,Computational complexity theory
Conference
ISSN
Citations 
PageRank 
2158-3994
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Chih-Hsiang Chang110310.91
N. Kehtarnavaz226433.56