000082391 001__ 82391
000082391 005__ 20181203020346.0
000082391 0247_ $$2doi$$a10.1016/0031-3203(94)00158-8
000082391 037__ $$aARTICLE
000082391 245__ $$aFinding Lines Under Bounded Error
000082391 269__ $$a1996
000082391 260__ $$c1996
000082391 336__ $$aJournal Articles
000082391 520__ $$aA 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.
000082391 6531_ $$avision
000082391 700__ $$aBreuel, Thomas M.
000082391 773__ $$j29$$k01$$q167-178$$tPattern Recognition
000082391 909C0 $$0252189$$pLIDIAP$$xU10381
000082391 909CO $$ooai:infoscience.tind.io:82391$$pSTI$$particle
000082391 937__ $$aEPFL-ARTICLE-82391
000082391 970__ $$atmb-pr96.bib/LIDIAP
000082391 973__ $$aEPFL$$sPUBLISHED
000082391 980__ $$aARTICLE