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Scene recognition is an important research topic in computer vision, while feature extraction is a key step of scene recognition. Although classical Restricted Boltzmann Machines (RBM) can efficiently represent complicated data, it is hard to handle large images due to its complexity in computation. In this paper, a novel feature extraction method, named Centered Convolutional Restricted Boltzmann...
Place classification and object categorization are necessary functions of vision-based robotic systems. In this paper, a novel latent topic model is proposed to learn and recognize scenes and places. First, each image in the training set is characterized by a collection of local features, known as codewords, obtained by unsupervised learning, and each codeword is represented as part of a topic. Then,...
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