DocumentCode :
3703488
Title :
Prior-Based Facade Rectification for AR in Urban Environment
Author :
Antoine Fond;Marie-Odile Berger;Gilles Simon
fYear :
2015
Firstpage :
94
Lastpage :
99
Abstract :
We present a method for automatic facade rectification and detection in the Manhattan world scenario. A Bayesian inference approach is proposed to recover the Manhattan directions in camera coordinate system, based on a prior we derived from the analysis of urban datasets. In addition, a SVM-based procedure is used to identify right-angle corners in the rectified images. These corners are clustered in facade regions using a greedy rectangular min-cut technique. Experiments on a standard dataset show that our algorithm performs better or as well as state-of-the-art techniques while being much faster.
Keywords :
"Cameras","Image segmentation","Yttrium","Bayes methods","Image edge detection","Histograms","Buildings"
Publisher :
ieee
Conference_Titel :
Mixed and Augmented Reality Workshops (ISMARW), 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/ISMARW.2015.25
Filename :
7344765
Link To Document :
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