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This paper proposes a new method, named Local Kernel Mapping (LKM), for object recognition. LKM is proposed to capture the nonlinear local relationship by using the kernel function. Different from traditional kernel methods for feature extraction, the proposed method does not need to reserve the training samples. To testify the effectiveness of LKM, we apply it on Local Binary Pattern (LBP), and the...
To improve the localization capability of the mobile robot in a crowded and unorderly indoor environment, an approach for extracting LSRII (Local Salient Region Integral Invariant) features is proposed. The approach extracts integral invariant features in salient regions in an image. The global localization is achieved by applying LSRII features in particle filter localization. The practical experiments...
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