Title :
Extraction of illusory linear clues in perspectively skewed documents
Author_Institution :
Hewlett-Packard Labs., Bristol, UK
Abstract :
The article deals with the recovery of illusory linear clues from perspectively skewed documents, with the purpose of using them for rectification. The computational approach proposed implements the perceptual organization principles implicitly used in textual layouts. The numerous examples provided show that the method is robust and viewpoint and scale invariant.
Keywords :
document image processing; feature extraction; image reconstruction; computational approach; document plane orientation; illusory linear clue extraction; illusory linear clue recovery; perceptual organization principles; perspectively skewed documents; rectification; scale invariant; textual layouts; viewpoint invariant; Cameras; Detectors; Face detection; Geometry; Image edge detection; Image segmentation; Laboratories; Optical character recognition software; Robustness; Text analysis;
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1272-0
DOI :
10.1109/CVPR.2001.990498
