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To solve the problem that using only one feature is poor for the terrestrial environment classification, a new feature fusion method at decision level is proposed in this paper. An eigenvector is obtained by using a Gaussian mixture model (GMM) firstly, and the probabilities of the eigenvector belonging to a certain class of the texture and color are computed. Then the probabilities are multiplied...
To accurately estimate the motion parameters, especially for rotation, scale and transition, a new invariant feature descriptor is proposed based on simplified polar sampling. The Gaussian weighed regions in original version are replaced by the uniform weighted regions. Fast calculation of gradient-orientation histogram by means of integral map is adopted to improve the efficiency. Then a new method...
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