Perceptual Grouping of Contour Segments Using Markov Random Fields

Ackermann F, Maßmann A, Posch S, Sagerer G, Schlüter D (1997)
Pattern Recognition and Image Analysis 7(1): 11-17.

Journal Article | Published | English

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The aim of this work is to exploit regular structure in a scene by using the gestalt laws of perception in the field of computer vision. The statistical result of a hand labelled training set is employed to derive ‘‘Areas of perceptual attentiveness’’. Grouping hypotheses are thus generated based on local evidence. To judge these hypotheses in a more global context a Markov random field is used. The approach is contour-based and different types of grouping hypotheses define a hierarchy according to their growing complexity.
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Ackermann F, Maßmann A, Posch S, Sagerer G, Schlüter D. Perceptual Grouping of Contour Segments Using Markov Random Fields. Pattern Recognition and Image Analysis. 1997;7(1):11-17.
Ackermann, F., Maßmann, A., Posch, S., Sagerer, G., & Schlüter, D. (1997). Perceptual Grouping of Contour Segments Using Markov Random Fields. Pattern Recognition and Image Analysis, 7(1), 11-17.
Ackermann, F., Maßmann, A., Posch, S., Sagerer, G., and Schlüter, D. (1997). Perceptual Grouping of Contour Segments Using Markov Random Fields. Pattern Recognition and Image Analysis 7, 11-17.
Ackermann, F., et al., 1997. Perceptual Grouping of Contour Segments Using Markov Random Fields. Pattern Recognition and Image Analysis, 7(1), p 11-17.
F. Ackermann, et al., “Perceptual Grouping of Contour Segments Using Markov Random Fields”, Pattern Recognition and Image Analysis, vol. 7, 1997, pp. 11-17.
Ackermann, F., Maßmann, A., Posch, S., Sagerer, G., Schlüter, D.: Perceptual Grouping of Contour Segments Using Markov Random Fields. Pattern Recognition and Image Analysis. 7, 11-17 (1997).
Ackermann, Friedrich, Maßmann, A., Posch, Stefan, Sagerer, Gerhard, and Schlüter, Daniel. “Perceptual Grouping of Contour Segments Using Markov Random Fields”. Pattern Recognition and Image Analysis 7.1 (1997): 11-17.
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