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Person re-identification refers to matching people across disjoint camera views. Most existing person re-identification methods use the same feature descriptors and similarity metrics for all pedestrian pairs. However, these methods ignore that image pairs with different visual consistency conditions are sensitive to different features and metrics. In this paper, we propose to optimally organize multiple...
This paper presents a method of dental work (DW) extraction and matching for bitewing radiographs. The method includes an algorithm that can correctly extract DW's from radiograph images and two matching metrics (dFD of frequency domain and dXOR of spatial domain) that can effectively match a postmortem DW to the genuine antemortem DW in the database. The experimental results show that our method...
In error-prone channels, forward error correction is necessary for protecting important data. In this paper, we use a packet loss visibility model to evaluate the visual importance of video packets to be transmitted. With the loss visibility of each packet, we use the Branch and Bound method to optimally allocate rates of Rate-Compatible Punctured Convolutional codes. The complexity of our prior algorithm...
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