A Holistic Approach for Efficient Contour Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s11390-014-1488-8.pdf
Reference45 articles.
1. Martin D R, Fowlkes C, Malik J. Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE Trans. Pattern Analysis and Machine Intelligence, 2004, 26(5): 530–549.
2. Arbeláez P. Boundary extraction in natural images using ultrametric contour maps. In Proc. IEEE Computer Vision and Pattern Recognition Workshop, June 2006, Article No. 182.
3. Papari G, Campisi P, Petkov N, Neri A. Contour detection by multiresolution surround inhibition. In Proc. IEEE International Conference on Image Processing, October 2006, pp.749–752.
4. Galun M, Basri R, Brandt A. Multiscale edge detection and fiber enhancement using differences of oriented means. In Proc. the 11th IEEE Int. Conf. Computer Vision, October 2007.
5. Maire M, Arbeláez P, Fowlkes C, Malik J. Using contours to detect and localize junctions in natural images. In Proc. IEEE Conf. Computer Vision and Pattern Recognition, June 2008.
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