Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm

@article{Kokkinos2009SynergyBO,
  title={Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm},
  author={Iasonas Kokkinos and Petros Maragos},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2009},
  volume={31}
}
In this work, we formulate the interaction between image segmentation and object recognition in the framework of the Expectation-Maximization (EM) algorithm. We consider segmentation as the assignment of image observations to object hypotheses and phrase it as the E-step, while the M-step amounts to fitting the object models to the observations. These two tasks are performed iteratively, thereby simultaneously segmenting an image and reconstructing it in terms of objects. We model objects using… CONTINUE READING
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