82391
20180317093226.0
10.1016/0031-3203(94)00158-8
doi
ARTICLE
Finding Lines Under Bounded Error
1996
1996
Journal Articles
A new algorithm for finding straight lines in images under a bounded error model is described. The algorithm is based on a hierarchical and adaptive subdivision of the space of line parameters. It measures errors in image space and thereby guarantees that no solution satisfying the given error bounds will be lost. The algorithm can find interpretations of all the lines in the image that satisfy the constraint that each image feature supports at most one line hypothesis. It can be extended to compute efficiently the maxima of the probabilistic Hough transform and the generalized Hough transform under a variety of statistical error models.
vision
Breuel, Thomas M.
167-178
01
Pattern Recognition
29
oai:infoscience.tind.io:82391
article
STI
LIDIAP
252189
U10381
EPFL-ARTICLE-82391
tmb-pr96.bib/LIDIAP
EPFL
PUBLISHED
ARTICLE