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We investigate exploiting the class specific information in the conventional perceptual edge grouping for the task of object extraction, since the domain information is usually available in practice. Instead of applying the classical Gestalt principles, we turn to learn a class specific probabilistic structure model from training images. During the learning, both geometrical and photometric features...
We study the satellite image analysis problem with focus on extracting the man-made buildings. Instead of assuming simple rectangular building shape as in the most of previous work, we apply probabilistic learning method to statistical modeling the building structures. The model can achieve high robustness to large shape variation. We also propose a novel energy function to incorporate the statistical...
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