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In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a single feature vector as the classification problem, the proposed method establishes a new way to formulate the face recognition problem as a deformable image registration problem. The main contributions of the paper lie in the...
We present in this article two complete procedures to solve some problems of the road networks. First, we must start with a process of road networks extraction based on the fuzzy clustering unsupervised approaches, and then we apply another approach for the local registration and deformation of a cartographic and a satellite road networks. For this aim, the idea is to segment first the sensed data...
In the paper we propose a novel multi-layer Mixed Markov model for detecting relevant changes in registered aerial images taken with significant time differences. The introduced approach combines global intensity statistics with local correlation and contrast features. A global energy optimization process simultaneously ensures optimal local feature selection and smooth, observation-consistent classification...
We present a registration method for medical images based on shape information and voxel intensities. First, we segment volume images using the Markov random field and the Gibbs distribution. We extract the 3D feature points of the shape from the surface of the segmented object. Then, we conduct first registration using ordinary Procrustes analysis for two sets of 3D feature points. For the second...
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