Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation

@article{Shahrokni2009ClassificationBasedPM,
  title={Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation},
  author={Ali Shahrokni and Tom Drummond and François Fleuret and Pascal Fua},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2009},
  volume={31},
  pages={570-576}
}
We introduce a classification-based approach to finding occluding texture boundaries. The classifier is composed of a set of weak learners which operate on image intensity discriminative features which are defined on small patches and fast to compute. A database which is designed to simulate digitized occluding contours of textured objects in natural images is used to train the weak learners. The trained classifier score is then used to obtain a probabilistic model for the presence of texture… CONTINUE READING

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