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Human re-identification is still a challenging task due to the human pose and illumination variations. Nowadays, surveillance cameras with high frame rate are capable of capturing several consecutive frames from each person. Multi-shot images provide richer information of the target person compared to a single-shot image. They, however, produce a high cost of information redundancy which may degrade...
We consider the problem of the correspondence leaning of two high-dimensional data sets via the manifold leaning techniques. Itpsilas convenient for us to find the shared latent structure of the high-dimensional data sets, if they can be aligned in a uniformed low-dimensional data space. A local affine technique to address this problem is present here. Our method preserves more geometrical knowledge...
Manifold alignment (Ham et al., 2005) is about mapping several datasets into a global space, and is of great importance in learning the shared latent structure (Shon et al., 2006), data fusion and multicue data matching (Lafon et al., 2006). In this paper, we propose an algorithm to solve this problem via local tangent space alignment (Zhang et al., 2004) (LTSA). LTSA is used here as a method to find...
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